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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Lakera is seeking a Solutions Engineer to accelerate customer success and shape the product experience as we scale. In this customer-facing role, you’ll be the primary technical point of contact through both sales and post-sales implementation. You’ll translate customer needs into solutions, architecting with Lakera’s AI security platform to help enterprises secure their AI stacks and unlock cutting-edge use cases.You’ll work closely with Customer Success, Sales, Product, and Engineering to ensure Lakera delivers on its mission. With your blend of technical expertise, communication skills, and customer empathy, you’ll be at the forefront of AI security innovation.About LakeraLakera is on a mission to secure the era of intelligent computing. We are heading towards a future where AI-powered applications take center stage. Here at Lakera, we're not just dreaming about the future; we're building the security foundation for it. We empower builders, giving them the confidence to navigate this new dynamic landscape and unleash the next phase of innovation. We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world’s most popular AI security game. If you're eager to be part of a team that's not just keeping pace but setting the pace, Lakera is the right place for you. Let's shape the future together.What You’ll Do:Act as the primary technical point of contact for customers evaluating Lakera. Understand their needs and design solutions that align with their infrastructure using Lakera’s platform.Partner with Customer Success to plan and execute post-sales implementations, ensuring customers onboard quickly and realize value from the platform.Develop and maintain technical documentation and guides to streamline pre- and post-sales workflows.Support product configuration and deliver minor technical changes required for customer implementations.Feed customer feedback directly into Product and Engineering, helping shape the roadmap and ensuring the platform evolves with real-world needs.Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.What You’ll Bring:5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role.A track record of managing relationships with large, complex organizations, preferably with a deeply technical enterprise product.Proficiency coding in the Python and Javascript ecosystems.A track record of enabling large scale implementations in at least one of the hyperscalers (AWS,GCP, Azure). Preferred experience with Docker, Kubernetes, and Terraform.An understanding of and experience navigating security, compliance, and IT processes and requirements when implementing B2B products at large enterprises.Strong written and verbal communication and interpersonal skills with a comfort presenting in front of customers 1:1, in small groups, and at large conference venues..A track record of working directly with customers of varying sizes, including large enterprises.An organized, self-starter approach with an eye for finding creative ways to get projects to the finish line.A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way.Comfortable in a small and fast moving startup environment.Location: San Francisco.Logistics: Tuesday and Wednesday in office. We’re excited about candidates who want to contribute to our in-office culture.Deadline to apply: None. Applications will be reviewed on a rolling basis.Compensation and Benefits: Our total compensation package is a blend of salary, equity and benefits.We are committed to paying fairly and aim for these three elements collectively to be highly competitive with market rates. Equity - On top of this position's compensation, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size and communicate equity amounts at the time of offer issuance.Benefits:Equity package.Comprehensive health, dental, and vision insurance.401k plan.Paid parental leave.Unlimited PTO.Health, wellness, and commuter benefits.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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Want to use your engineering skills to make an impact? AI is the new electricity. Founded by AI visionary Andrew Ng, DeepLearning.AI is on a mission to empower everyone to build with AI. AI builders are needed across the world to transform industries with AI,  and we’re creating the products to enable them.  We’re looking for our next FullStack Engineer who brings together a foundation in development and a passion for building. As a FullStack Engineer Engineer, you will be responsible for building and delivering scalable, secure, and enterprise-grade learning experiences. We’re looking for a self-starter, who not only writes great code, but also brings together ideas and design sensibility, and can translate them into new features and intuitive user interfaces. You should have a deep understanding of user-centered design principles and enterprise product needs, including performance, compliance, and interoperability. You’ll be highly GenAI-enabled, leveraging AI-powered coding and design tools to accelerate development and deliver innovation at scale. In this role, you will help us rapidly prototype, iterate, and ship features that meet the demands of organizations and drive measurable business impact. You’ll be involved in the early stages of product development, working closely with the Product team to help identify, scope, and develop new features to improve the user experience and deepen the value of our products.  Here’s what you’ll do:Implement LMS integrations to extend platform interoperability.Build data reporting and dashboards to track learner and program performance.Develop user management and admin features for organizations and learners.Ensure privacy, accessibility, and information security compliance across all features.Design B2B platform features, such as co-branded landing pages, organizational leaderboards and social features, localization, custom programs, and curated catalogs.Maintain and evolve the marketing website to support growth and awareness.Act as a dedicated resource for timely bug fixes and platform reliability.Build self-serve signup and onboarding flows for smaller teams and organizations. Here are the skills you should have:Broad and solid CS foundation knowledge, including data structures & algorithms, operating systems, computer networks, and databases.At least 3+ years of software development experience, with proven end-to-end project delivery.Strong ability to convert ideas into running code efficiently.Frontend: Familiarity with technologies such as React.js, Next.js, Typescript, tRPC, and Tailwind.Backend: Familiarity  with the Python ecosystem (Linux, SQL, Django, FastAPI), APIs (REST, GraphQL).Proficiency with Docker and microservice architecture design.Familiarity with Test-Driven Development (TDD). Strong understanding of security concerns and best practices.A bachelor’s degree in CS or related technical field.Excellent communicator and team player with strong English language skills if not a native speaker yourself.Technical familiarity with machine learning, particularly using LLM APIs and frameworks beyond basic prompting - including tool calling, agentic workflows, RAG, and popular ML frameworks.High fluency/familiarity with tools such as Claude Code, Cursor, Windsurf or Cline.A keen interest in the Artificial Intelligence domain. Bonus if you have:Deep technical expertise in specific LLM applications such as finetuning, complex agentic systems, or production RAG implementations.Familiarity with Next.js App Router and deployment on Vercel.Experience with headless CMS architectures, API integrations, and performance optimization.Experience with Python ecosystem tooling beyond web frameworks (data, ML integrations, etc.).

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services. What You’ll Do Independently executes the machine learning model development for research and product development projects with ML best practices Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML  Stewards, WiML, Journal Club, Maintaining and creation of documentation) Proactively identifies technical limitations of the current platform and proposes solutions towards solving core problems in digital pathology. Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding.  Actively contribute to scientific strategy with  abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals.   Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring To be successful in this role with us, you'll at least need: Master’s degree plus 3-4 years of professional experience or Ph.D in Computer Science or related field, preferably with a focus on artificial intelligence and machine learning 3-4 years of experience in developing and deploying state-of-the art machine learning and computer vision models in products/platforms Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills Familiarity with overall machine learning and computer vision model development lifecycle including data pipelines, model training, evaluation and deployment. Publications or research in fields related to artificial intelligence and biomedical science is preferred Intellectual curiosity and the ability to learn quickly in a complex space We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. As our Staff Product Designer, you won't just be designing software. You'll be redesigning the future of healthcare delivery. You'll create experiences that give clinicians back time, reduce cognitive load, and enable doctors to give their patients undivided attention again.Healthcare is broken in ways most people don't see. Clinicians spend up much of their time on administrative tasks, leading to unprecedented burnout rates and compromised patient care. The current state of clinical documentation forces doctors to choose between looking at their patients or looking at their computers.This role is for someone who dreams big and can reimagine experiences. You'll be working on problems that have never been solved before, in an industry where design decisions impact human lives and wellbeing.What You'll Do:As our Staff Product Designer, you’ll shape the product experience at Abridge, setting a high bar for taste, clarity, and strategic thinking across initiatives that directly impact clinicians, patients, and care teams.You’ll collaborate deeply with cross-functional partners, immerse yourself in the complexity of clinical workflows, and bring structure and empathy to ambiguous problems. Whether you’re prototyping new ideas or refining existing features, you’ll advocate for design excellence at every stage of the product lifecycle.Simplify the Complex: Tackle our most challenging and ambiguous design and customer problems, transforming complex clinical workflows and AI capabilities into intuitive and delightful user experiences.Elevate Our Craft and Establish Design Standards Push the boundaries of visual and interaction design. You have an extremely strong command of design principles, motion, and prototyping, ensuring every pixel and interaction is meticulously considered and executed to perfection.Lead End-to-End Design Execution: Design for today’s needs and tomorrow’s challenges, translating early ideas into concrete, high-fidelity designs, prototypes, and user flows. No task is too small or too large when it comes to building exceptional products.Champion User-Centered Design: Advocate passionately for our users,clinicians who rely on our product daily. Engage in user research, synthesize insights, and ensure that every design decision is rooted in a deep understanding of their needs and pain points.What You'll Bring:7-12+ years of experience shipping impactful product design in complex domains. Bonus points for AI experience.A proven track record of leading significant design initiatives from concept to launch, demonstrating measurable impact on user experience and business outcomes.A high craft bar that you consistently meet and exceed. You sweat the details and inspire others to do the same.Exceptional communication, presentation, and storytelling skills that enable you to articulate design rationale and influence stakeholders at all levels.A highly collaborative spirit and a low ego, with a genuine desire to learn, teach, and grow with a fast-paced, high-performing team.Ideally, you’d have experience with:AI/ML productsConsumer mobileEnterprise product experienceThis is a hybrid role - you must be based out of New York or San Francisco or willing to relocate. Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for a talented multitasking Technical Escalation Manager to join our rapidly expanding, venture-backed startup.  We are building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. Our team works hard and plays hard. We are professional, creative, passionate, and most importantly - customer-obsessed. Technical Escalation Manager is a critical role within our organization, responsible for overseeing the resolution of complex technical issues escalated by customers. This position requires a blend of technical expertise, customer-focused problem-solving, and strong communication skills. The Technical Escalation Manager will work closely with customers, support teams, and engineering to ensure that escalated issues are resolved efficiently and effectively, thereby enhancing customer satisfaction and product reliability. You will: Manage Technical Escalations: Serve as the primary point of contact for escalated technical issues from customers, ensuring thorough understanding and documentation of the problem. Lead the investigation of escalated cases, coordinating with engineering and support teams to diagnose and resolve issues. Cross-Functional Collaboration: Collaborate with Product Management, Engineering, and Quality Assurance teams to identify root causes of technical problems and implement solutions. Facilitate regular meetings with stakeholders to discuss ongoing escalations and resolution strategies. Customer Communication: Maintain direct communication with customers throughout the escalation process, providing regular updates and managing expectations. Gather customer feedback and insights during the resolution process to ensure their needs are met. Root Cause Analysis: Conduct thorough analyses of technical issues to identify underlying causes, documenting findings and recommending improvements to prevent recurrence. Work with engineering teams to develop and implement long-term solutions based on root cause analysis. Documentation and Knowledge Management: Create and maintain comprehensive documentation of escalated issues, resolutions, and best practices. Contribute to the development and improvement of internal knowledge base articles and training materials. Process Improvement: Analyze trends in technical escalations to identify areas for process enhancement, efficiency gains, and customer experience improvements. Recommend and implement changes to escalation processes and workflows based on data-driven insights. Reporting and Metrics: Track and report key performance metrics related to technical escalations, including response times, resolution times, and customer satisfaction scores. Prepare regular updates for senior management on escalation trends, challenges, and resolutions. Training and Mentoring: Mentor and train support team members on best practices for managing technical escalations and troubleshooting complex issues. Lead training sessions to enhance team capabilities in technical problem-solving and customer communication. Customer Advocacy: Act as a voice for the customer within the organization, ensuring their technical needs and concerns are prioritized in product development and enhancements. Build and maintain strong relationships with key customers to enhance loyalty and trust. About you: Problem solving: technical problem-solving skills including the ability to troubleshoot and isolate issues to their root cause Ability to debug issues including searching & reading application logs, analyzing stack traces and browser trace files Experience in at least one of the following disciplines: Customer Solutions Engineering, Support Engineering, Professional Services Hands-on experience in at least one of the following: Search technologies, Knowledge technologies, SaaS-based system integrations Experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure Must have experience in troubleshooting REST API issues Working experience on SSO, SAML, and OAuth along with network troubleshooting Able to fully document issues you manage and contribute to the support knowledge base Nice to have Knowledge of SQL/database, Basic Kubernetes, Intermediate/Advanced Linux Experience in using Github, Jira & Confluence Basic knowledge of LLM’s and how GPT works Location:  This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Hybrid

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Primary Purpose ​As an AI Data Specialist, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions.  In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions.  You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives.   AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions.  It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes.  The range of responsibility include the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise. The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities.  As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions.  As they gain and maintain system and data expertise, the roll will continue to open up for direct client interactions, feedback capture and build plans. Primary Functions/Responsibilities Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). Support validations of completed and evolving data structures to ensure high standards for precision and recall are met Test evolving tools from Research that support the development of the data structures. Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products. Work with client requirements to understand new requests and how we can or cannot meet them. Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices. Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc. Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets. As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions. The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that mater within CX interactions. AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs. AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists) . Required Education ​Bachelors degree in Management, Finance, Business Intelligence / Analytics, or a related field. Masters degree preferred. Required Experience/Skills 5+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider Experience with use of technology to build and analyze datasets for operational outcomes Experience with the development, positioning and quantification of operational recommendations Excellent oral and written communication skills in English Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience Ability to multi-task and meet deadlines when supporting requests that create competing priorities Ability to develop and maintain good working relationships with cross-functional teams Ability to communicate comfortably across all levels of corporate structure Ability to work with sales executives and assist with opportunities as subject matter expert Demonstrated ability to take the initiative and work in a self-directed manner Ability to thrive in a changing environment Preferred Experience Experience in Management Consulting This job description is not intended to be all-inclusive, and employee will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. ​This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.     About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We’ve raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role… Synthesia is building a modern, AI-powered back office. We are hiring a full-stack engineer to design and run the data layer that powers Finance ensuring data from finance systems land securely in a data warehouse and is easily consumed via Copilot (LLM) and Omni dashboards. You’ll be a cornerstone in our shift to modern finance workflows. Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and securely store data from NetSuite and other finance systems into Snowflake, ensuring data integrity, compliance, and security best practices (e.g., encryption, access controls, and auditing). Collaborate with finance and data teams to define data models, schemas, and governance policies that support modern finance workflows, including automated reporting, forecasting, and anomaly detection. Implement data retrieval mechanisms optimized for LLM-based querying via Co-pilot and/or similar tools, enabling natural language access to financial data while maintaining accuracy and contextual relevance. Build and optimize interactive dashboards in Omni for real-time visualization and analysis of key metrics, such as financial performance and operational KPIs. Monitor and troubleshoot data pipelines, performing root-cause analysis on issues related to data quality, latency, or availability, and implementing proactive solutions to ensure high reliability. Document processes, architectures, and best practices to facilitate knowledge sharing and scalability within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Finance, Information Systems, or a related field. 5+ years of experience as a data engineer or analytics engineer, with a proven track record in full stack data development (from ingestion to visualization). Strong expertise in Snowflake, including data modeling, warehousing, and performance optimization. Hands-on experience with ETL tools (e.g., Apache Airflow, dbt, Fivetran) and integrating data from ERP systems like NetSuite. Proficiency in SQL, Python, and/or other scripting languages for data processing and automation. Familiarity with LLM integrations (e.g., for natural language querying) and dashboarding tools like Omni or similar (e.g., Tableau, Looker). Solid understanding of data security principles, including GDPR/CCPA compliance, role-based access, and encryption in cloud environments. Excellent problem-solving skills, with the ability to work cross-functionally in agile teams. At Synthesia we expect everyone to... Put the Customer First Own it & Go Direct Be Fast & Experimental Make the Journey Fun You can read more about this in our public Notion page. Location: LON or UK Remote UK Benefits 📍A hybrid, flexible approach to work where you have access to a lovely office space in Oxford Circus with free lunches on a Wednesday and Friday 💸 A competitive salary + stock options 🏝 25 days of annual leave + public holidays 🏥 Private healthcare through AXA ❣️ Pension contribution - Synthesia contributes 3% and employees contribute 5% on qualifying earnings 🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay 👉 You can participate in a generous recruitment referral scheme if you help us to hire 💻 The equipment you need to be successful in your role

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleAs a Data Scientist at Decagon, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance.You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon’s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.In this role, you willConduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business.What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation:$250k - $300k + equity

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We’re looking for an experienced machine learning researcher / engineer who can help us push the frontiers of agentic LLM systems. As a part of the team, you will help drive exploration and development of agentic techniques and have the opportunity to build the models that power our agentic solutions. Agentic LLM systems are being deployed widely across enterprise companies including through Cohere’s North platform. In this role, you’ll be working with a team developing new strategies for training models for advanced agent capabilities including reasoning, tool use, and memory. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere’s models. Model advancements have direct impacts on North and other Cohere products creating an exciting opportunity where core model development leads to direct product advancements.Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! Our preference for this role is that you are based in Eastern Time, New York office, remote or hybrid works!As a Member of Technical Staff for Agents Modeling you will:Design and develop novel agentic solutionsImprove upon SOTA on hard agentic tasksResearch the next-generation of on-line learning-from-experience self-improvementWork with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic systemWork with an amazing team of researchers and engineers pushing the boundariesYou may be a good fit if you have:Have a PhD in computer science or related field or similar industry research experienceStrong software engineering skillsProficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.)Experience with LLMs and agentic frameworksExperience with post-training LLMs (SFT, PEFT, or RL*)Experience with building synthetic data generation pipelinesIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for creative engineers to own and launch delightful user facing features. In a rapidly growing startup, this entails developing ideas with product managers and designers to best balance engineering constraints with requirements, delivering intuitive experiences that run in modern mobile and desktop browsers. You will: Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Revolutionize the current experience by incorporating AI into the product Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Architect REST APIs that are backed by stable, scalable server side implementations and maximize web client flexibility for rapidly meeting evolving product requirements Write robust code that’s efficient, easy to read, maintain and test About You: 5+ years of experience in product engineering with 2 years as a TL/M BA/BS in computer science, or related degree Experience of building and shipping scalable features across frontend and backend Thrive in a customer-focused, tight-knit and cross-functional environment A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features A user-centric and empathetic mentality for building products Experience on a consumer grade web app frontend, preferably React based Love authoring easy-to-hold and future-proof REST APIs, OpenAPI is a plus Experience building distributed CRUD level functionality, ideally both SQL and NoSQL Comfortable in or desire to master Golang, Java and TypeScript Location: This role is hybrid (3 days a week in one of our Bay Area offices) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Senior Software Engineer – Model Training at Baseten, you’ll be at the forefront of building the infrastructure that powers large-scale training and fine-tuning of foundation models. You’ll design and implement distributed training systems, optimize GPU utilization, and create scalable pipelines that enable Baseten and our customers to adapt models efficiently and reliably. This role is highly technical and hands-on: you’ll own key components of our training stack, collaborate with product and infra teams to surface customer needs, and push forward the state of the art in scalable training infrastructure.RESPONSIBILITIESDesign, build, and maintain distributed training infrastructure for large-scale foundation modelsImplement scalable pipelines for fine-tuning and training across heterogeneous GPU/accelerator clustersOptimize training performance through techniques like FSDP, DDP, ZeRO, and mixed precision trainingContribute to frameworks and tooling that make training workflows efficient, reproducible, and developer-friendlyCollaborate with cross-functional teams (Product, Forward Deployed Engineering, Inference Infra) to ensure training systems meet real-world requirementsResearch and apply emerging techniques in training efficiency and model adaptation, and productionize them in the Baseten platformParticipate in code reviews, system design discussions, and technical deep dives to maintain a high engineering barREQUIREMENTSBachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience4+ years of experience in software engineering with a focus on ML infrastructure, distributed systems, or ML platform engineeringHands-on expertise in distributed training frameworks (FSDP, DDP, ZeRO, or similar) and ML frameworks (PyTorch, Transformers, Lightning, TRL)Strong understanding of GPU/accelerator performance optimization and scaling techniquesExperience designing and operating large-scale systems in production (cloud-native preferred)Excellent problem-solving and communication skills, with the ability to work across infrastructure and ML boundariesNICE TO HAVEExperience building APIs, SDKs, or developer tools for ML workflowsFamiliarity with cluster management and scheduling (Kubernetes, Ray, Slurm, etc.)Knowledge of parameter-efficient fine-tuning methods (LoRA, QLoRA) and evaluation pipelinesContributions to open-source distributed training or ML infra projectsExperience with cloud environments (AWS, GCP, Azure) and container orchestrationBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs a Senior Product Marketer at Abridge, you’ll lead go-to-market campaigns and equip our commercial teams to convert pipeline and expand accounts. You’ll craft clear messaging and positioning for new features—specifically showcasing how we’re extending the value of ambiently captured clinical conversations into revenue cycle management.What You’ll DoMessaging and StorytellingDevelop messaging and audience insights that drive awareness, activation, and adoption of Abridge’s core productsCreate market-making moments and bring together Growth, Sales, and Partner Success to run campaigns that build consideration and differentiationCraft compelling product narratives, differentiated positioning, and resonant messagesBuild personas for key segments and buyer roles within RCMLaunch Campaigns and Commercial EnablementLead product launches and marketing moments to generate pipeline and grow adoptionProduce assets across formats: sales enablement, lifecycle campaigns, blog posts, event keynotes, and moreBuild a marketing roadmap with Product for current and future RCM features, announcing updates at the right cadence for each audienceManage the monthly release cycle for upcoming RCM features with the product marketing teamWhat You’ll Bring7–10+ years of professional experience (or equivalent)At least 6 years in product marketing at a health tech company serving B2B audiencesBonus Points If…Experience marketing enterprise healthcare software to revenue cycle leaders (e.g., ICD-10/HCC code capture, prior authorization, risk adjustment)Experience marketing AI productsA track record of crisp positioning and messagingAbility to distill complex concepts into clear, relatable writingSkill in communicating strategy, driving deliverables, and motivating cross-functional teamsProven success in fast-paced environments, with strong prioritization and project management across tight deadlinesWe are in-person at least 3 days a week. To be considered, candidates must be within commutable distance of or open to relocation to either our San Francisco or New York City locations.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Who We AreEma pioneers Agentic AI, developing autonomous, goal-driven AI agents that can plan, decide, and act across complex enterprise workflows without constant human oversight. We combine advanced LLMs with proprietary orchestration, retrieval, and reasoning layers, enabling AI agents to adapt to context, collaborate, and securely interact with enterprise systems.This is not another automation tool — this is AI that can see, design, and execute solutions before you even ask. If you want to work on technology that will define the next decade — solving problems no one has dared to touch, at a scale that matters — this is your shot.We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world.What is the AI resident/Data Resident program?A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises.Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections.Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners.At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema.We envision this program as a launchpad for future AI/Data leaders of our company.Who is eligible for this program?Our AI Resident & Data Resident programs are open for students in the final year of their undergraduate degree in Computer Science or related fields and graduating by June 2025/26. This is a remote opportunity which offers you the flexibility to work from your respective campuses/homes. You would be expected to work full time during the summer and 20-30hrs / week on average during the semester.AI ResidentResponsibilitiesResearch, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous drivingA typical day to day includes reading deep learning papers, implementing described models and algorithms, adapting them to our setting and driving up internal metricsPlay a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologiesTrain machine learning models at EmaDevelop state-of-the-art algorithms in one or all of the following areas: Prompt engineering for LLM models, Fine tuning models, Training open source models, large-scale distributed training,Comparing and benchmarking performance of different modelsOptimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded deviceData ResidentResponsibilitiesConduct analysis that includes data gathering, data transformation, data processing and analysisWork with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methodsBuild and prototype analysis pipelines iteratively to provide insights at scaleWhat makes you a good fit for the AI resident / Data Resident program?You must be currently enrolled in a full-time degree program in Computer Science or related field graduating by June 2026Top rankers in JEE Advanced and consistent high academic record (GPA) preferred.Strong interest in either:Machine Learning or Natural Language Processing (NLP), ideally in one or more of these areas: Generative AI, Natural Language Understanding (NLU), Natural Language Generation (NLG), Structured Prediction, Unsupervised Learning & Representation Learning.AND/ORSystems programming, data engineering, data processing frameworks, streaming databases and data visualization.You must be strong in coding skills and be ready to pick up any task and run with it.You should have an experience with SQL and other programming languages like Python, Cala, or RExperience with programming languages like Python and familiarity with frameworks like PyTorch, Tensorflow, Keras, etc.Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.)What benefits do you get as an AI resident/ Data Resident?Monthly Stipend - Rs 65,000 per monthCoaching and mentorship from highly accomplished leaders.Connections to a powerful and sought-after network of world leaders for future endeavors.

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About the TeamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As a Solutions Architect, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the RoleWe are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn this role, you will:Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.Contribute to our open-source developer and enterprise resources.Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.You’ll thrive in this role if you:Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.Are an effective and polished communicator who can translate business and technical topics to all audiences.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teamsTrack record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeGrit - experience working at early-stage startups is a plusCompensation Range$220,000 - $280,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.

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About CentralWhat is Central?Central kills back-office work for startups.While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more.That's 10+ hours back every month. Thousands of founders trust Central, including high-growth companies like Magic Patterns, Wordware, and Bitesight.Learn more and start for free at centralhq.com.Why Central?Founders start companies to solve problems and build something that matters. Not to become HR managers. Yet here we are in 2025. Despite countless $10B+ 'solutions', founders are still drowning in back-office bullshit. Why? Because every platform was built for HR professionals, not founders. Today, every founder still has to: Register in multiple states. Set up workers' comp. Categorize expenses. Decipher government letters. Pay invoices. Update addresses. Manage equity. Troubleshoot insurance. Answer PTO questions. The list never ends. What a waste of time. But what's worse is the constant anxiety: What am I missing? Did I do this right? Will I get fined? What founders need isn't another tool they have to learn and manage, but something that actually does the work. All of it.As a founding member, you'll have a seat at the table and help Central scale to serve thousands of companies and founders. Our cultureCentral is a high-performance sports team with an extremely high bar and 3 core values:Think clearlyShow high agencyCraft magic---------What you’ll doArchitect mission-critical workflows: Design, build, and maintain stateful, end-to-end systems that ensure data integrity (idempotency, reconciliation, audit trails) and meet stringent compliance and reliability requirements.Iterate rapidly: Ship incremental, production-ready features in days—prototype, gather real user feedback, and refine relentlessly.Own your domain: Act as the technical product lead for core platform areas—setting standards for code quality, observability, testing, and operational excellence.Delight and empower customers: Partner with Product and Support to translate user pain points into clean, intuitive solutions that scale from a single startup to enterprise.Push the limits with AI: AI is part of the DNA at Central. We believe we can leverage it in a variety of ways to automate things that were previously impossible and create completely new user experiences.Who you areExperienced systems architect: You’ve designed and delivered large-scale, stateful architectures—modeling complex domains, defining clear data schemas, and ensuring end-to-end reliability.Distributed-transaction specialist: You’ve implemented robust patterns for coordinating multi-step workflows across disparate services and third-party APIs—handling two-phase commits, sagas, idempotency, and compensating actions to keep data consistent.Deep transactional-pipeline expertise: Comfort building reconciled workflows with audit trails and automated recovery, especially when orchestrating financial or compliance-related operations.Reliability-first mindset: You bake in observability (metrics, logs, alerts), fault tolerance, and graceful degradation from day one.Scalability & performance focus: You understand caching, queueing, rate-limiting, and have tuned systems to handle rapid growth without sacrificing latency or correctness.Strategic thinker & communicator: You break down complex trade-offs into clear plans, document your designs, and keep cross-functional stakeholders aligned.Bias toward action & high standards: You ship prototypes quickly, iterate based on real feedback, and insist on production-ready quality in every release.What we offerCompetitive salary and equityComprehensive benefits: Medical, dental, vision, 401k (US employees only)Unlimited PTO and sick leaveRemote work2-4 off-sites per yearNote for US Roles: We do not provide visa sponsorship. You must be authorized to work in the U.S.