AI Product & Operation Jobs

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our AiSight platforms and AI products promise substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. Where You Fit We're looking for an experienced engineering leader to join our team and help scale and evolve our engineering organization. This Director will oversee multiple engineering squads focused on the continued development, performance, and scalability of our AiSight Platform. You’ll work closely with product, commercial, clinical affairs, quality, regulatory, and business operations teams to ensure our technology not only meets today’s needs but also scales for the future. The successful candidate will provide technical and organizational leadership, drive execution on key engineering initiatives, and cultivate an environment of excellence and innovation. This is an opportunity to work on serious technical challenges in healthcare while collaborating cross-functionally across a wide variety of stakeholders. What You’ll Do Lead, mentor, and grow multiple engineering squads responsible for core components of PathAI’s AiSight Platform. Provide technical direction and architectural guidance to ensure our platform is scalable, reliable, and secure. Partner with product, design, and science teams to translate business and scientific requirements into robust engineering solutions. Drive execution of engineering initiatives, ensuring timely delivery against business objectives while maintaining high technical standards. Collaborate with cross-functional stakeholders (commercial, clinical, pathology, operations) to align engineering priorities with organizational strategy. Foster a culture of technical excellence within the engineering team. What You’ll Need 10+ years of professional software engineering experience, with at least 5+ years in engineering leadership roles. Demonstrated experience managing multiple teams or squads delivering complex, enterprise-grade software products. Proven track record of working cross-functionally across product, science, and business stakeholders. Strong technical foundation in modern software architecture, cloud infrastructure (AWS/GCP), and enterprise SaaS platforms. Experience building scalable, secure, and compliant systems in healthcare, life sciences, or other highly regulated industries is strongly preferred. Excellent communication and organizational leadership skills; ability to balance strategic thinking with hands-on execution. A passion for mentoring engineers and developing high-performing teams. 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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Scale is growing rapidly and joining the International Public Sector team is an opportunity to join one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom LLMs Providing high-quality training data for research institutions building LLMs from scratch Partnerships, up skilling, and advisor As an early member of our operations team, you will be accountable for driving millions in new revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will be leading the development of some of our custom LLM solutions or leading data production initiatives for premier research institutions in the Middle East. You will be solving complex operational problems and working cross functionally with our engineering teams, government stakeholders, and product orgs, to ensure high quality. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results. You will: Work on cross-functional development of custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) Consistently read AI/ML research papers to keep up-to-date on the best approaches for customizing / training LLMs Work on fine-tuning (post-training) data production pipelines to improve the custom LLM solutions as needed Work on the continuous evaluation of custom LLMs Drive the technical and operational partnership with research institutions Have native fluency in Arabic and English Build and drive some of our most critical operational processes Own the day-to-day delivery of customer commitments Ideally, you’d have: 2+ in an operational role and/or a top-tier consulting firm An undergraduate degree in computer science, business, engineering, systems, finance, logistics, communications, journalism, or a related field Strong attention to detail Strong writing and verbal communication skills, with an emphasis on grammar, proofreading and copy editing An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Nice to haves: Hands-on experience in machine learning, especially in NLP (during a previous role or in school) Technical skills including familiarity with APIs, large language models, machine learning, and advanced querying languages  Ability to use SQL, Python, or other data analysis tools Entrepreneurial experience and mindset - you are excited about building things from scratch PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Portfolio Tech Lead – Infinity MENAAbout Infinity MENAInfinity Constellation is expanding into the Middle East with the launch of Infinity MENA, a new regional holding company. Infinity builds and scales AI-driven businesses in essential service sectors, creating long-term compounding value. Infinity MENA will localize Infinity’s proven business models and launch new ventures that respond to regional opportunities.We are seeking a Portfolio Tech Lead to drive the localization, technical launch, and scaling of multiple business units within Infinity MENA. This role is hands-on from day one: you’ll be coding in our stack (Python + TypeScript), leading a small team, and deploying AI automation systems. Over time, this position evolves into a portfolio-level technology leadership role overseeing technical direction across multiple Infinity MENA businesses. This role is based in Dubai.ResponsibilitiesHands-On Development & LaunchWrite production-grade code in Python and TypeScript, Infinity’s core stack.Build and integrate AI agents, automation pipelines, and AI-first workflows into Infinity MENA business units.Stand up infrastructure, data pipelines, and AI-enabled product features for MVP launches.Lead and mentor a small founding engineering team (1–5 engineers) while setting coding and delivery standards. Localization & RegionalizationCustomize Infinity’s platforms for the MENA market (Arabic/English systems, payments, compliance, hosting, and data residency).Ensure AI-enabled processes are culturally and legally aligned with regional requirements.Translate Infinity’s global playbooks into MENA-specific systems while ensuring interoperability with the global platform. Scaling & LeadershipTransition from player-coach to portfolio-level leader as Infinity MENA companies scale.Partner with BU CEOs and founders to architect scalable AI-first systems and hire/mentor regional engineering leaders.Build shared technical services (DevOps, AI/ML infrastructure, analytics, IT, security) to accelerate scale across companies. AI Strategy & GovernanceBe the senior-most AI/automation expert in MENA, advising Infinity leaders on where to deploy AI agents and automation for maximum leverage.Evaluate, prototype, and implement AI frameworks (ex. LangChain, n8n, RAG systems, multi-agent coordination, etc.) across businesses.Ensure AI systems meet data security, safety, and reliability standards, especially in regulated industries (finance, healthcare, logistics). Advisory & Portfolio SupportServe as a trusted advisor to the Infinity MENA CEO and board on technical risks, AI adoption, and portfolio-wide opportunities.Represent technology in board meetings, portfolio reviews, and investor discussions. RequirementsExperience8–12+ years in software engineering and technical leadership, with a hands-on coding background.Strong experience in Python and TypeScript (Infinity’s core stack).Demonstrated expertise in AI automation, AI agents, and applied ML/LLM systems.Track record of launching or localizing products in multiple geographies (MENA experience preferred but not required).Prior experience in a portfolio/holding company, startup studio, or VC/PE-backed scaling environment is a plus. Skills & CapabilitiesDeep understanding of cloud infrastructure, DevOps, and scalable architecture.Practical knowledge of AI frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen, fine-tuning pipelines).Strong knowledge of MENA-specific technical considerations (localization, payments, regulatory environments).Ability to ship code today and build/scale teams tomorrow. MindsetBuilder-operator: thrives in hands-on coding mode, then scales to team-building and governance.Entrepreneurial, adaptable across multiple businesses and teams.Collegial, intellectually honest, and able to red-team assumptions to drive the highest standard of execution. What We OfferA once-in-a-decade opportunity to build the Infinity MENA technology foundation from scratch.Immediate hands-on impact with clear growth trajectory from founding engineer/lead → portfolio CTO.Exposure to multiple industries, founders, and CEOs, with portfolio-wide influence.Competitive compensation, including long-term equity incentives aligned with Infinity’s compounding value philosophy.A collegial, ambitious culture that balances innovation with discipline.

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Director of Engineering - (US/Canada), Remote Role Overview As the Director of Engineering, you will report directly to the Chief Technology Officer (CTO) and be responsible for driving the technical strategy, leading engineering teams, and ensuring the successful delivery of AI-powered solutions. You will collaborate with cross-functional teams, including Product, Research, Applied, and Operations, to ensure innovation and execution at the highest level. You will play a pivotal role in defining technical strategy, scaling our AI infrastructure, optimizing performance, and fostering a culture of technical excellence. Key Responsibilities Define and execute the engineering roadmap aligned with the company’s AI vision and business objectives. Hands-on leader who is not afraid to write code and debug problems with the team Lead, mentor, and scale high-performing engineering teams across backend, frontend, Inference, and API development. Oversee the design, development, and deployment of scalable, reliable, and secure full-stack applications and APIs. Collaborate with Product, Research, Applied, and Sales teams to translate AI innovations into market-ready solutions, with proven experience shipping complex products on tight timelines. Ensure best practices in software development, architecture, cloud infrastructure, security, and observability. Drive technical excellence through modern development methodologies, CI/CD pipelines, and effective DevOps/MLOps practices. Establish and track key performance indicators to measure engineering efficiency, product reliability, and platform performance. Maintain awareness of emerging technologies and industry trends across AI, web, and API development to drive continuous innovation. Partner with leadership to define technical hiring strategies and foster a strong, collaborative engineering culture. Work closely with the CTO to align engineering execution with overall technology and business strategy. Qualifications 10+ years of experience in software engineering, with at least 5 years in a leadership role at a high-growth technology, AI, or deep-tech company. Proven track record of building and scaling engineering teams responsible for backend, frontend, and API platforms. Strong expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and modern web architectures. Experience in building and owning full stack products using programming languages/frameworks such as Go, Typescript, Java, or Python. Familiarity with MLOps, data infrastructure, and deploying AI models in production environments. Strong understanding of application security, compliance, and ethical technology principles. Exceptional leadership, communication, and cross-functional collaboration skills. Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, AI, or a related field. Preferred Experience in a high-growth startup environment. Knowledge of AI regulations, data privacy laws, and ethical technology frameworks. Prior experience running Gen AI models or applications in production. Why Join Us? Opportunity to lead and shape engineering excellence in a dynamic, high-impact environment. Work with a talented team of engineers, AI researchers, and industry experts. Competitive salary, equity options, and comprehensive benefits. A culture that values innovation, collaboration, and continuous learning. If you are a passionate engineering leader eager to build world-class backend, frontend, and API platforms, we’d love to hear from you!

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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 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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💥 Your impactOnyx is a popular open source project with hundreds of thousands of users. The project has over 13K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future.💡 About the roleAs an early hire, you'll play a pivotal role in shaping the core product. Help us become the biggest “GenAI for work” application in the world!You’ll be:Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder. Some specific features:Beautiful core search and chat experience (animations, speed, etc.). Think building the UI/UX layer for Perplexity AND ChatGPT in one.Huge feature set: workspace search, internet search, code interpreter, artifacts, deep research, and so much moreCollaborating closely with the design team + foundersSetting frontend priorities and best practicesBuilding an exceptional design / frontend engineering cultureFostering an open-source community; guiding contributors on adding to the frontendThis is an in-person role based in San Francisco, CA.🚀 You’ll be successful if you have…4+ years of frontend engineering experience building complex, user-facing applicationsHave an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologiesExcellent communication skills and ability to collaborate with cross-functional teamsStrong product/design intuition.⭐ Bonus pointsFamiliar with Python, PostgresDegree in Computer Science or related technical fieldPrevious founder or early engineer at seed/series-A startup🤝 Why you should join usYou like working with brilliant (yet humble), thoughtful, and collaborative peopleGreat benefits including fully covered health/dental/vision and transportation reimbursementFree meals — We have our Mix’t loyalists and a rebel faction of unhealthy eatersStocked kitchen with drinks, snacks, matcha and an espresso machineMonthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)We enjoy friendly competition — we built an internal ELO system to find the best ping pong players on the teamExceptional compensation packages for exceptional people

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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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De parte de GabrielEste proceso incluye relocation a San Francisco.Domu presenta una oportunidad para adelantar tu carrera varios pasos.En un mapa de carrera puede tomarte más de 5 años tener los logros, la experiencia y el perfil para conseguir una oferta para trabajar en San Francisco. Tener una YC en el cinturón trabajando en San Francisco cambia la pendiente de tu carrera para siempre. Domu tiene una cultura de trabajo intensa, enfocada en perfiles enérgicos - tiene más ventas y crecimiento que lo que puede manejar el equipo de ingeniería actual, y por eso se trabaja muy intensamente. Este proceso lo manejo yo personalmente. Te voy a dar apoyo end-to-end para inmigración, preparación de entrevistas y counseling. Y vos vas a tener que poner todo lo que tenés para tener una chance.Los perfiles que voy a buscar tienen al menos 3 años de experiencia laboral en una startup y necesitan estar completamente comprometidos a prepararse para esta life-changing opportunity.About Domu Technology Inc.Why you should consider joiningDomu.ai is one of the very first voice-AI startups powering collections and servicing for the world’s biggest financial institutions. Only a handful of companies have entered this space, and we’re already handling thousands of live calls every day for Fortune 500 banks and insurers. Our ARR has tripled, and we’re on track to become the gold standard in financial-services voice AI.We move fast, ship daily, and refuse to stop until our product outperforms expectations. We deeply care about doing great work.CultureHeavy GrindingGo to the office every dayhigh-urgencygreat work0 egoWhat you'll doTake ownership of the entire product and make decisions at the product level instead of merely following orders.Talk with customers.Do what others don’t want to do. You may need to get into areas like telephony.Encourage the team to improve continuously.Make architectural decisions.Help shape the engineering culture.Ensure our DX is exceptional and makes it easy to ship day 1.Spend a significant portion of your time coding, likely over 80%.You're a fit ifYou were the first hire at another company.You were part of a startup post-Series A from the beginning of the company.You're comfortable building full-stack features.You care about product, not just code.You've owned something meaningful end-to-end in the past (a product module, an infra refactor, etc).You're resourceful and comfortable with ambiguity. You figure things out.Why join usYou'll be part of a strong engineering-first culture. It's still early to join the team.Post-revenue, working with Fortune 500 companies alongside a small engineering team of 4 full-time engineers.Full ownership and trust, with zero bureaucracy and ego.You want to work with enterprises and learn how to close enterprise deals from an engineering perspective.You want to join a team that considers itself A players and strives to improve every day, nonstop.

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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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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Program overviewAPX is Sierra’s rotational program to develop the next generation of AI builders.In the age of AI, we believe generalists with diverse training and experience will become more important and empowered than ever. Instead of specializing early in an engineering, product management, or business subfield, the next generation of AI leaders will be able to do everything it takes to create, ship, and distribute great products.As an APX, you’ll be among the first to live in this exciting future. You’ll build AI agents directly with top global brands and gain access to comprehensive training opportunities, both as an Agent Engineer and Agent Product Manager. If you’re hungry to shape and learn from the most important technological wave of our lifetimes, come build at Sierra.The APX program is open to students graduating from undergraduate or Master’s programs by June 2026.What you’ll doBuild and ship AI agents for Sierra’s customers in a fast-paced, production environment.Write code and design features that directly impact customer-facing agent performance.Learn how we build agents that operate at scale and evolve through real-world usage.Collaborate closely with engineers, product managers, and operators across the company.Participate in internal reviews and product discussions to push the boundaries of what agents can do.Preferred qualificationsPursuing a bachelor’s or Master’s degree (or comparable program) in Computer Science or a related field.Professional experience in software engineering or product management, especially with customer-facing responsibilities.Expertise in React, TypeScript, Python, Go, and other modern programming languages.Demonstrated curiosity and interest in AI applications (e.g., research, jobs, side projects).Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Location: Buenos Aires, Argentina (Hybrid)About The Mobile-First CompanyMost tools for small businesses weren’t built for real operators. They were built for employees in offices, not people running a business from their phone.We’re changing that.We build mobile-first business software that feels like a consumer app, runs on AI, and spreads like a creator brand. Our first product, Allô, gives you a second number on your phone, answers missed calls with AI, transcribes everything, and syncs it to your CRM.Over 20,000 businesses use it every day. Next up: expenses, invoicing, and more.We’ve raised +5 million dolars from Lightspeed, EMBLEM, and 30+ top operators. Our team is based in Paris, Buenos Aires, Miami.Drive the evolution of our backend technology, infrastructure, and AI capabilities to ensure high performance, scalability, and seamless integration for our mobile applications.What will you do:Work side by side with our CTO to build the foundations, the present, and the future of our backend, and AI systems.Develop and enhance backend systems for both existing and new applications in conjunction with mobile engineers.Contribute to systems design, infrastructure planning, CI/CD processes, and data workflows.What you'll be working on:Implementing and maintaining scalable and reliable backend systems using languages like Kotlin, Java, Go, Python or similar.Designing and defining backend tools, databases, and the architecture of our apps.Working directly with Cloud services (e.g., AWS, Supabase, Cloudflare).Creating tools, libraries, or components to enhance the efficiency of backend development processes.What we’re looking forBackend Engineering:Proficiency in backend development with expertise in languages like Kotlin, Java, Go, Python or similar.Familiarity with database design, management, and optimization.Track record of building and maintaining scalable and reliable backend systems.Experience with AI is a strong plus, especially in applying models to real-world product use cases and optimizing performance in production environments.Systems Architecture:Expertise in designing scalable and maintainable backend architectures, understanding when to apply different architectural patterns.Capable of monitoring the whole architecture using tools like New Relic or Datadog.Performance and dataYou know how to build scalable and maintainable codeYou care about what to measure and how it impacts business and usersYou track behavior, usage, and performance, and improve based on itHow you thinkYou care about why we build things, not just how.You ask smart questions, challenge ideas when needed, and help shape what’s next.You think in terms of user value and business impact.How you workYou communicate clearly, give feedback with no ego, and help others grow.You move fast, take ownership, and thrive in ambiguity.You're comfortable working in English — and in a small team with big goals.What matters to usYou’ve worked in product companies6+ years of experience designing and building high-performance systems used by millions.You’re proactive, autonomous, and know how to fill the gapsYou can communicate in English, since that's our official language. Most of the team also speaks Spanish and French.What we offerCompetitive salary (in USD or local equivalent)Equity package10-day team retreats abroad every quarter30-day onboarding in Paris (we cover flights and housing)Laptop and work setup of your choicePrivate health insurance (for US or LATAM hires)A tight, ambitious team building something real — fastThe Interview Process:Silver.dev Recruiter ScreeningClient People Interview Client Technical InterviewClient Behavioral Interview

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Manufacturing Engineer in the mechatronic systems area plays a pivotal role in optimising production processes, ensuring the highest standards of quality, efficiency, and compliance for mechatronic systems, assemblies and components. This position focuses on the practical application of engineering principles to the factory floor, collaborating across multidisciplinary teams to bring innovative designs to fruition and maintain seamless operations. The day-to-day  Develop, evaluate, and continuously improve manufacturing processes to enhance efficiency, quality, and cost-effectiveness. • Design and implement manufacturing tools, equipment, and procedures, ensuring optimal workflow and equipment layout. • Collaborate closely with design, production, and quality teams to ensure the manufacturability of new products and adherence to specifications. • Support new product introductions (NPI) by developing production plans and assisting with prototypes. • Analyse production data to identify trends, address issues, and recommend process improvements. • Conduct root cause analysis for manufacturing issues and implement effective corrective actions to prevent recurrence. • Ensure strict compliance with aerospace industry standards, safety regulations, and quality management systems (e.g., AS9100). • Prepare and maintain detailed manufacturing documentation, including work instructions, routings, process specifications, and technical reports. • Apply Lean Manufacturing principles and Six Sigma methodologies to eliminate waste, improve productivity, and drive continuous improvement initiatives. • Provide technical guidance and support to the production team. You should apply if you • Bachelor's degree in Manufacturing Engineering, Aerospace Engineering, Mechanical Engineering, or a closely related field from an accredited institution. • 2-3+ years of experience in manufacturing engineering, preferably within the aerospace or defense industry. • Proficiency with CAD software (e.g., SolidWorks, CATIA, NX, Inventor) for designing and modifying parts and assemblies, and creating detailed 3D models and technical drawings. • Strong understanding of aerospace materials and processes, including composite materials and CNC machinery. • Knowledge of quality control standards, including statistical process control and inspection techniques. • Excellent problem-solving skills with an analytical mindset and attention to detail. • Strong verbal and written communication skills, with the ability to effectively collaborate across departments and document processes. • Familiarity with data analysis tools and manufacturing execution systems (MES). Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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CSQ426R218 We have 5 open positions based in our Germany offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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CSQ326R414 We have 5 open positions based in our Germany office. This role can be remote or be based out of our Munich or Berlin offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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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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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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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us We are seeking a Software Development Engineer III (SDE 3) at Observe AI. In this role, we are looking for a talented and driven Sr. Software Engineer to build a scalable, secure, and multi-tenant cloud platform for processing millions of call recordings every day. You will use state-of-the-art cloud computing technologies. You will work closely with the leaders and the engineers to come up with a roadmap and develop solutions. What you’ll be doing Work with the team to define the technical stack and own it Work with the product team to understand the product roadmap and define the technical roadmap Participate in the entire application lifecycle, focusing on coding and debugging Integrate user-facing elements developed by front-end developers with server-side logic Build reusable code and libraries for future use Optimize the application for maximum speed and scalability Implement security and data protection Design and implement data storage solutions Build and scale data pipeline Collaborate with Front-end developers to integrate user-facing elements with server-side logic What you'll bring to the role Bachelor’s Degree in Computer Science with 6.5-9 years of experience in building large-scale products Expertise in Python Knowledge of container management tools (docker-swarm, Kubernetes) is a plus An ability to perform well in a fast-paced environment Good knowledge in at least one of the SQL or no-SQL databases: Postgres, MongoDB, Cassandra, Redis Good knowledge in queue (rabbitmq, Kafka, etc), cache(ehcache, Memcache) Strong knowledge of design patterns Perks and Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.