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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:In this role, you are the first line of support in maintaining our equipment uptime and system performance. You will monitor the Hayden.ai roadside environment, troubleshoot hardware/software issues, and escalate more complex problems as needed. Ensuring timely and effective support for remote field operations, using proprietary tools, industry standard ticketing systems, and clear communication to resolve incidents efficiently.Responsibilities: Reports directly to the Sr. Manager of Field ServicesProvide Tier 1 support for hayden.ai endpoint devicesMonitor the production, pilot and test fleets, responding to alerts and client reported issuesCreate and manage ticket queues for quick resolution to issuesMonitor all alerts and report any issues that may impact the production fleetFollow an established set of processes while handling issues escalating unresolved issues to our engineering teamPartner with and provide support to senior members of the team in creating reports and updating dashboards on system healthRoot cause analysis and problem resolution follow-upHandle incoming support calls or messages, log them in the ticketing systemAssist field technicians with troubleshooting steps for our field devicesParticipate in larger scale projects lead by senior members of the team or engineering Required Qualifications:Bachelor’s degree preferred1-2 years of experience in a technical support roleComfortable with various SW tools, such as JIRA, Smartsheet, Excel and Google SheetsExcellent analytical and problem-solving skillsHands-on approach in taking charge of issues and seeing them through to resolutionAbility to operate under deadlines while still meeting standards

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role: As a Forward Deployed AI Engineer at webAI, you will be on the front lines of integrating cutting-edge AI solutions into real-world enterprise environments. You will work directly with customers to understand their needs, deploy AI systems into their infrastructure, and ensure high performance and reliability at scale. You’ll help bridge the gap between research, engineering, and operations—playing a pivotal role in building the future of edge AI.This role will require a minimum of 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments.Key Responsibilities:Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.Debug and optimize data pipelines and AI systems running on customer networks.Translate complex, often ambiguous customer requirements into well-scoped technical solutions.Work across the stack—from model inference on consumer hardware to infrastructure automation.Read hardware schematics/logs to identify performance bottlenecks and suggest improvements.Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally.Contribute feedback and insight to internal teams to continuously improve product robustness and usability.Required Skills & Qualifications:5+ years of combined experience in software engineering and machine learning.Proven track record of deploying and maintaining machine learning/AI systems in production.Strong expertise in MLX and/or PyTorch.Experience debugging complex systems involving data pipelines, model inference, and hardware interaction.Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans.Comfortable working in dynamic environments with high customer exposure.Preferred Qualifications:Experience deploying models on edge devices or consumer hardware.Familiarity with distributed systems, DevOps tooling, and performance tuning.Prior experience in a customer-facing engineering role.Knowledge of privacy-preserving AI and secure compute environments.Master’s degree in a relevant technical discipline. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved PTOParental, Bereavement LeaveSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships.ResponsibilitiesOnboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions.Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work.Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates.Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI.Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions.Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platformQualificationsIdeal candidates for the Enterprise CSM role at Harvey can demonstrate comfort and experience with the following qualifications:3-4+ years in customer-owning roles at tech or SaaS platformsAdapting seamlessly in the face of high-speed change and growthStrategic planning, revenue-based prioritizationManaging customer-facing projects and timelinesRunning in-person meetings w/ executivesMapping an organization and influencing stakeholdersDriving key customer metrics and outcomesOwning a revenue, expansion, and renewal targetDemonstrating a strong point of view and proactive self-managementWorking cross-functionally with Product and Sales teamsAdditional Information for PostingsLocation: Sydney, NSW (Hybrid with flexibility)Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Sydney teamStructured hybrid working arrangement: 3 days in our Sydney office, 2 days working from homeOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective.Similar to how Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You’ll DoEngage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types.Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs.Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs.Conduct research and analysis on customers and competitors.QualificationsJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Additional Information for PostingsLocation: Sydney, NSW (Hybrid with flexibility)Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Sydney teamStructured hybrid working arrangement: 3 days in our Sydney office, 2 days working from homeOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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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. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include: Python/Django Django REST framework PostgreSQL VueJS What You’ll Do:  Solve interesting problems with code. Build new features for internal and external users, and refactor existing ones to make them better. Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface. Drive the architecture of our application platform, considering the team and our future product roadmap. Collaborate with product, design, front-end, machine learning, and infrastructure teams. Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated. Mentor, learn, and share knowledge with others along the way. Contribute to the development of software as a medical device aiming at improving patient outcomes What You'll Need Experience. You've been around the block more than a couple times, typically via 2+ years of work in this field. Education. Generally, a bachelor's degree is really helpful in working with our team on this kind of work, however, equivalent years of experience can substitute. An insatiable 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.  #LI-Remote

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.RoleHarvey’s Strategic Business Development Leads are skilled lawyers who apply their legal expertise to help current and prospective customers understand how Harvey’s AI solutions can drive transformation across law firms and legal teams — from improving individual workflows to enabling firm-wide innovation, adoption, and change. Working alongside Account Executives, they support all aspects of our Sales and Go-To-Market strategy.We are now seeking a Japan-speaking Strategic Business Development Lead, based in our London office. The ideal candidate is fluent in Japanese and has practiced law in Japan, bringsing first-hand insight into local legal practices and market dynamics. This individual will serve as a bridge between our technology and the unique needs of legal professionals in the region.You’ll build consultative relationships with partners and associates at major law firms, as well as in-house counsel at corporates and financial institutions, becoming a trusted advisor. Through tailored demos, targeted education, and strategic advisory conversations, you’ll help customers envision and implement new ways of working powered by AI.What You’ll DoEngage with English- and Japan-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them.Act as a trusted advisor, helping law firms and legal teams think through adoption strategy, change management, and how to integrate Harvey into daily workflows and firm-wide processes.Lead tailored product demonstrations aligned with the priorities of law firm practice groups and in-house legal teams, validating use cases and illustrating clear value.Identify and prioritize opportunities to deliver impact with Harvey across legal teams, supporting both individual users and broader adoption initiatives.Partner with the marketing team to develop content and messaging for the DACH market that speaks to region-specific legal challenges and practices.Act as the Voice of the Customer, bringing legal insight and user feedback into sales strategy, product development, and go-to-market planning.Provide competitive and market intelligence specific to the DACH legal tech landscape.Further strengthen Harvey’s reputation in the DACH region as a credible, substantive, and forward-looking AI partner to the legal industry.What You HaveQualified to practice law in either the Australia or Japan, or equivalent legal education and experience in the Japenese legal market.Fluent in Japanese and English.At least 3 years of experience practicing law at a top-tier law firm or in-house legal team, ideally with a focus in corporate law, litigation, or regulatory.Strong understanding of German legal processes and the challenges faced by legal professionals.Executive presence with the ability to engage partners, general counsel, and senior stakeholders.Excellent communication and presentation skills.Commercial acumen and curiosity about how AI can transform legal services.Prior experience in a customer-facing or business development role is a plus.Additional Information for PostingsLocation: Sydney, NSW (Hybrid with flexibility)Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Sydney teamStructured hybrid working arrangement: 3 days in our Sydney office, 2 days working from homeOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across the US— we also have offices in NYC, San Francisco, and Seattle We are growing our commercial team and looking for growth minded individuals who are passionate about the future of AI and content creation. In this role you’ll be identifying use cases where our technology can solve problems, and helping businesses think strategically about incorporating Runway into their workflows. What you’ll do Identify new prospective customers and own the commercial process from initial engagement to contract signing Develop innovative applications for our software and experiment within customer conversations Craft compelling stories that articulate the value and potential of our technology to businesses Foster relationships with key decision-makers and innovators, including executives and senior leadership teams to partner on deploying and growing usage of Runway throughout their organization Prototype with customers in real time Grow and expand existing customer accounts using data Work closely with our Research, Engineering, Product, and Marketing teams to share market insights and identify potential growth opportunities What you’ll need 5+ years of overall experience in a growth, GTM, or customer-facing role with experience in a high-growth technology company preferred Natural curiosity for the Runway product and eagerness to use and test the product personally Passion for educating prospects about AI's transformative potential across industries Ability to build trust and engage authentically with diverse stakeholders—from technical experts to creative professionals to business executives Exceptional communication skills and ability to articulate complex ideas clearly and persuasively Ability to thrive in a constantly changing and growing environment While sales experience is preferred, it’s not required - experience in a customer-facing role such as Solutions Architect, Sales Engineer, or Technical Account Manager is also relevant Salary range: $150,000-$200,000Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Research Our AI Film Festival Runway Studios Our Behaviors and Company Mission Towards a new media ecosystem with world simulators; $300m Series D funding We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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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.About the roleWe're looking for a Senior Software Engineer to join our cutting-edge product, Frontier, working within the Platform Core product squad.In this role, you'll be immersed in hands-on work, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. Join us on this exciting journey of transforming decision-making with AI and machine learning, revolutionising how businesses thrive utilising Decision Intelligence.What you will be doingCollaborating with other Engineers in the team to develop and implement AI-driven software solutions.Conducting code reviews & pair programming with junior members of the team, directly impacting customer projects and outcomes.Getting the opportunity to work in diverse domains, expanding your industry knowledge and gaining experience with cutting-edge technologies.Working in an Agile environment with cross-functional teams, including data scientists, project managers, and business stakeholders, to understand customer needs and translate them into technical requirements.What we are looking forDemonstrable experience programming in PythonExperience building maintainable code for software productsExperience working with data scientists and Machine LearningExperience and understanding of Data Structures and AlgorithmsExperience leading junior engineersOutstanding verbal and written communication skills, ensuring inclusivity in all interactions.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?This role is for students who are excited about building the next generation of machine learning models and NLP products. Our SWE roles can cover creating datasets for machine learning, scaling the pods to serve our API, or even building out new security features on our platform. We don't distinguish much between interns and full-time employees, and you’ll have plenty of opportunities to push code to production. You'll have full autonomy and ownership over high-impact work, and will be backed by the support of an incredible team or leaders & mentors. Join us at a pivotal moment, shape what we build, and wear multiple hats! We're currently hiring for multiple teams and roles, including Frontend, Backend, Full-stack, and Infrastructure roles. We'll take your interests & experience into account throughout the application process. Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage. Please Note: To be eligible for this position, you should be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term.As a Software Engineering Intern, you will:Ship delightful experiences for our user-facing products, meticulously crafting code for browsers or server code.Build features for the API platform that directly impact users.Design and implement robust data pipelines (crawlers, storage, filters).Design and implement scalable services or infrastructure for machine learning development.Build internal tooling (CI/CD, dev utilities) to move faster together.Build tech writing skills through maintaining and contributing to technical documentation, both internal and external facing.Keep up with the cutting edge and adopt new technologies to improve performance and reliability across Cohere.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends✈️ Paid vacationIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Ship state of the art models to production.Design and implement novel research ideas.Build elegant training/deployment pipelines.Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stagePlease Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term.As a Machine Learning Intern, you will:Design, train and improve upon cutting-edge models.Help us develop new techniques to train and serve models safer, better, and faster.Train extremely large-scale models on massive datasets.Explore continual and active learning strategies for streaming data.Learn from experienced senior machine learning technical staff.Work closely with product teams to develop solutions.You may be a good fit if you have:Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training strategies.Familiarity with autoregressive sequence models, such as Transformers.Strong communication and problem-solving skills.A demonstrated passion for applied NLP models and products.Bonus: experience writing kernels for GPUs using CUDA.Bonus: experience training on TPUs.Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends✈️ Paid vacationIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the TeamThe Governance, Risk, and Compliance (GRC) team sits at the core of our mission to ensure our technology benefits humanity safely and securely. We provide security assurances and robust compliance frameworks for our technology, people, and products. Our mission is to build trust with the world in our products and company. Our work is technical yet highly operational, strategically aligning with security and engineering teams to navigate and mitigate risks proactively. We prioritize impact, enable innovation, and foster a culture of continuous compliance and security awareness.About the RoleAs a Supply Chain Security Analyst within the GRC team, you will play a crucial role in protecting our organization against external risks posed by suppliers, vendors, partners, and hardware manufacturers. Your responsibilities will include conducting comprehensive security assessments, building a program to manage global supply chain risks, and driving security initiatives across all of our third-party relationships. You will be analytical, detail-oriented, and proactive, capable of translating complex security evaluations into clear, actionable strategies.This role requires exceptional organizational skills, the ability to effectively communicate across different business functions, and a strong commitment to operational excellence in a dynamic environment.This role can be based in San Francisco, Seattle, New York or Washington DC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Execute detailed information security risk assessments on third-party vendors, suppliers, partners, and hardware suppliers.Develop, build, and continuously improve the security supply chain risk management function at OpenAI.Develop, propose, and implement effective controls to mitigate identified supply chain risks.Conduct thorough evaluations utilizing penetration tests, security questionnaires, architectural reviews, hardware security analyses, and direct interviews to accurately gauge third-party security maturity.Advise internal teams and external suppliers on security requirements, providing remediation strategies to address gaps.Build and maintain collaborative partnerships with key internal stakeholders including Infrastructure Security, Product, Engineering, Legal, Procurement, and Threat Intelligence to ensure comprehensive security coverage of the hardware and third-party supply chain.Streamline and automate supply chain security processes to increase efficiency and reduce manual overhead.Continuously monitor emerging threats and trends within the industry, assessing their potential impact on our supply chain.You might thrive in this role if you have:Proven experience conducting third-party or supply chain security assessments, including building and scaling a supply chain security program.An in-depth understanding of information security principles and controls, including data protection, access management, proactive and reactive security measures, and application security.Strong technical and analytical skills, with a demonstrated ability to identify and assess risks from external incidents and industry breaches.Familiarity with workflow optimization tools such as Zip, Jira, or ServiceNow.A passion for integrating new AI technologies into your solutions.Exceptional verbal and written communication skills with the capability to clearly articulate complex security concepts to diverse audiences.A proactive mindset and desire to own and drive security initiatives within a fast-paced environment.Knowledge of key security frameworks and standards such as ISO-27001, NIST 800-53, SOC 2, and understanding of key regulatory requirements such as the Trade Agreement Act (TAA)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.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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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.****This role does not support Visa sponsorship****   About the Role As a Prompt Engineer on NICE’s Illuminate Research team, you’ll play a key role in shaping how generative AI is used across our Illuminate applications. Your primary mission will be to optimize, maintain, and innovate the prompts powering our AI models to ensure world-class customer experiences. You'll collaborate with cross-functional teams including development, product, and customer-facing groups to improve prompt performance, resolve prompt-based issues, and support custom solutions. Your work will directly impact the accuracy, clarity, and responsiveness of our AI-driven applications used by customers worldwide. What You’ll Do Analyze production metrics and customer feedback to identify opportunities for prompt improvement Debug, refine, and maintain high-performing prompts in English for generative AI systems Develop and execute test strategies for LLM-based systems that are difficult to validate with traditional automation tools Build collaborative relationships with global dev teams to integrate prompt changes and new features Partner with Product Managers and Architects to implement prompts for new functionality Create and share performance data through quantitative analysis and reports Work with Professional Services and Product teams to develop custom prompt solutions for enterprise clients Regularly review prompt updates with ML Engineers and consult on more complex challenges Stay up to date on LLM capabilities and best practices across major model providers Required Qualifications Fluent in written and spoken English Bachelor’s degree in a technology-related field (e.g., Computer Science, Business Intelligence, Finance) 3+ years of professional experience in a tech-focused role Familiarity with prompt engineering strategies, including variations across major LLMs (e.g., OpenAI, Anthropic, Google) Ability to communicate clearly with both technical and non-technical stakeholders Proficiency in Python and experience with at least one prototyping framework (e.g., Streamlit, Flask) Comfortable working with remote teams across time zones (UTC-7:00 and UTC-8:00 preferred) Preferred Skills Basic experience with AWS resource management and microservice deployment Familiarity with Docker and containerized development Experience with testing frameworks, including PyTest and AI-specific tools like DeepEval Exposure to AI app frameworks like LangChain, LlamaIndex, or griptape Join Us If you're excited about shaping the future of AI-powered applications and thrive at the intersection of language, technology, and human experience — we’d love to hear from you.  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Job DescriptionAt Shield AI, our mission is to protect service members and civilians with intelligent systems that are deployed in the world’s most critical environments. As a Senior Engineer on our Software Systems team, you’ll play a central role in delivering integrated solutions built around our core autonomy platform—Hivemind—which is already operating in high-stakes, real-world missions.This isn’t a traditional engineering role. You’ll work at the intersection of software, systems architecture, and autonomy—partnering across teams to turn complex design visions into operational reality. You won’t just build systems; you’ll help define how autonomous technologies are designed, developed, and deployed. In this role, you will collaborate closely with:-Programmatic leadership to determine the appropriate System Engineering level of effort-System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail-System Development & Test (e.g., Development, Integration, Test) to define system architectures This position offers remote flexibility but requires the individual to live in or near Dayton, Ohio due to occasional on-site needs.

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Job DescriptionAt Shield AI, our mission is to protect service members and civilians with intelligent systems that are deployed in the world’s most critical environments. As a Senior Engineer on our Software Systems team, you’ll play a central role in delivering integrated solutions built around our core autonomy platform—Hivemind—which is already operating in high-stakes, real-world missions.This isn’t a traditional engineering role. You’ll work at the intersection of software, systems architecture, and autonomy—partnering across teams to turn complex design visions into operational reality. You won’t just build systems; you’ll help define how autonomous technologies are designed, developed, and deployed. In this role, you will collaborate closely with:-Programmatic leadership to determine the appropriate System Engineering level of effort-System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail-System Development & Test (e.g., Development, Integration, Test) to define system architectures

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re looking for an experienced engineer to take ownership of LLM training operations across our applied research team. Your focus will be on making large-scale GPU training run reliably, efficiently, and fast on a dedicated mid-size GPU cluster and possibly on cloud platforms as well.You’ll work closely with researchers and ML engineers developing new models and agentic systems, ensuring their experiments scale smoothly across multi-node GPU clusters. From debugging NCCL deadlocks to optimizing FSDP configs, you’ll be the go-to person for training infrastructure and performance.What You’ll Do:Own the training pipeline for large-scale LLM fine-tuning and post-training workflowsConfigure, launch, monitor, and debug multi-node distributed training jobs using FSDP, DeepSpeed, or custom wrappersContribute to upstream and internal forks of training frameworks like TorchTune, TRL, and Hugging Face TransformersTune training parameters, memory footprints, and sharding strategies for optimal throughputWork closely with infra and systems teams to maintain the health and utilization of our GPU clusters (e.g., Infiniband, NCCL, Slurm, Kubernetes)Implement features or fixes to unblock novel use cases in our LLM training stack About you:3+ years working with large-scale ML systems or training pipelinesDeep familiarity with PyTorch, especially distributed training via FSDP, DeepSpeed, or DDPComfortable navigating training libraries like TorchTune, Accelerate, or Trainer APIsPractical experience with multi-node GPU training, including profiling, debugging, and optimizing jobsUnderstanding of low-level components like NCCL, Infiniband, CUDA memory, and model partitioning strategiesYou enjoy bridging research and engineering—making messy ideas actually run on hardware Nice to Have:Experience maintaining Slurm, Ray, or Kubernetes clustersPast contributions to open-source ML training frameworksExposure to model scaling laws, checkpointing formats (e.g., HF sharded safetensors vs. distcp), or mixed precision trainingFamiliarity with on-policy reinforcement learning setups with inference (policy rollouts) as part of the training loop, such as GRPO, PPO, or A2CExperience working at a startup Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist and/or Head of AI (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.A Software Development Engineer works as an integrated part of the NICE Analytics and Data Cloud Analytics software engineering team with specific focus on developing and delivering software products into a cloud-native production environment. Opportunities will include design and development of microservice architectures, distributed computing, cloud development and big data technologies while developing new functionality or evolving existing ones and supporting a massively scalable analytics solution servicing a global customer base. As a Software Development Engineer, a Typical Day Might Include the Following: Work as a member of an agile team to enhance and improve software written in Java and Python Design and present projects to improve current process and overall platform Code and test projects according to team SDLC processes and best practices Deliver high-quality software on time Attend meetings and training as required. Work with engineers, architects, and product management for the successful completion of project work Follow established department procedures, policies, and processes. Follow the company Code of Ethics and NICE policies and procedures at all times.   To Land This Gig You'll Need: An undergraduate degree in Computer Science or related major course of study 4+ years prior experience developing cloud-native services in a production environment Experience with coding languages such as Java and Python Experience with source control systems, build tools and frameworks (GIT, Gradle, CMake, Jenkins) Scripting experience (Python, Shell, Bash) Experience with AWS ECS, Kinesis, Dynamo DB, Redis, and others A strong desire to build additional experience in innovative public cloud technologies Demonstrated abilities as a fast learner with good problem solving and communication skills, who can work independently on engineering tasks and with others. Ability to solve challenging problems Ability to learn independently and from others Ability to communicate effectively in English with team members and peers abroad Bonus Experience: Experience with NLP or experience with machine learning tools and techniques Experience with Analytics, Big Data or Business Intelligence Experience working as a Scrum Master  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Are you excited about defining comprehensive QA strategy for a fast-growing company? To implement best classic and AI-driven practices for AI-native products? Including our generative AI features, UIUX components, and build the infrastructure to support robust and efficient testing cycles. If so, we want you. In this role, you will be a strategic partner, working closely with our product and engineering teams to champion a culture of quality.What are we?Based in San Francisco, California, Final Round AI is revolutionizing the job interview process with cutting-edge technology. Our AI-native platform is powered by cutting-edge design and technology and developed via agentic workflow and newest development paradigm. Our mission is to help all-level candidates from students to senior managers to stand out, feel confident, and secure the job you’ve always wanted.Backed by some of Silicon Valley's leading venture capital firms, Final Round AI continues to grow rapidly. Our team is expanding, and we’re looking for hacker-minded and visionary problem-solver and leaders to join a fast-paced, dynamic environment. With over one million candidates from 100+ countries already securing their dream jobs, Final Round AI is transforming careers and breaking new ground.What we can bring to youAI-native Development: Free-flow of coolest AI tools (Claude, Cursor, Devin, Zapier Agents.. you name it!). We may ask you to spend >= X tokensTrue Ownership: We empower our engineers to think like company founders, proactively identify and own problems. You'll have significant autonomy from concept, design, tool to deployment. Be Real, Be a Dreamer: We value creative and intelligent methods to achieve bigger dreams. Here you can push the boundary, collaborate with smart people, and build futuristic products togetherHigh Aesthetic for Tech & Product: We champaign deep passions and high standard for technology and product. You can hold up your own taste on code quality, product design, system robustness, and the beauty of the final user experienceHybrid Work: Provide flexibility for work, animal-and-plants friendly offices across China, India, and US. Sometime we organize offsite hackathon and fun parties!Unlimited Pay Day-offs: Good life brings creativity. We value efficiency and impact, over unproductive overtime What we are looking forWrite and manage test cases for our career copliot products; Design and execute test plans for product releases;Utilize different tools for test automation and manage bugs reportingHandle CI/CD pipeline, Build release, and troubleshoot daily builds and deploymentWork with developer and products to troubleshoot customer issuesBonus PointsRequires a Bachelor's degree in Computer Science, Software Engineering, a related field, or a foreign degree equivalent;Must have 4 years of experience in job offered or related occupation. For example, cross-platform automation testing, especially for web, mobile applications; Utilizing CI/CD workflow for auto build package, auto trigger the automation testing; Familiar with automated testing, code review and merge requestsInnovative in AI or agent driven testing frameworkA good communicator, possessing entrepreneurship spirit

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Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our TechnologyMirage Announcement our proprietary omni-modal foundation modelSeeing Voices (technical paper) generating A-roll video from audio with MirageMirage Studio for generating expressive videos at scale"Captions: For Talking Videos” available in the iOS app storePress CoverageLenny’s Podcast: Interview with Gaurav Misra (CEO)Latest Fundraise: Series C AnnouncementThe Information: 50 Most Promising StartupsFast Company: Next Big Things in TechBusiness Insider: 34 most promising AI startupsTIME: The Best Inventions of 2024Our InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the RoleCaptions is seeking an exceptional Member of Technical Staff to advance the state‑of‑the‑art in large‑scale image generation models. You’ll conduct novel research on generative image models for people and storytelling, developing new training techniques and scaling models to billions of parameters and millions of users. As a key member of our AI team, you’ll work at the cutting edge of image generation systems that enable natural, expressive, and high‑fidelity outputs.Our team has strong expertise in training large‑scale models with demonstrated research and product impact (see our recent whitepaper here for details of recent work). We’re especially excited to push the use of image synthesis for multimodal video generation, with a focus on photorealistic quality, professional-grade expressivity, and creative iteration. Our models power tools used by millions of creators, and we’re tackling fundamental challenges in how to generate compelling composition, lighting, and fine‑grained detail across diverse domains.Key ResponsibilitiesResearch & Architecture DevelopmentDesign and implement large‑scale image generation models (transformers, latent diffusion, flow matching, etc.).Develop new approaches to multimodal conditioning and generation (e.g. audio and video) and controllability (editing, multi-frame consistency, script guidance, etc).Research advanced image‑editing and -generation techniques such as content‑preserving edits, multi‑input conditioning, and reference‑based generation.Establish and validate scaling laws for image diffusion models across resolution and parameter count.Develop automated evaluation approaches for improved fidelity and consistency.Drive rapid experimentation with model architectures, sampling strategies, and training strategies.Validate research directly through product deployment and real user feedback.Derive insights from data and recommend architectures and training practices that will make meaningful impacts on our products.Model Training & OptimizationTrain and optimize models at massive scale (10s–100s of billions of parameters) across multi‑node GPU clusters.Push the boundaries of efficiency and hardware utilization for training and deploying models in a cost effective manner.Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron‑LM, Triton and custom CUDA kernels where needed.Design and implement model‑compression techniques (pruning, distillation, quantization, etc.) for efficient serving.Create new approaches to memory optimization, gradient checkpointing, and mixed‑precision training.Research techniques for improving sampling speed (DDIM, PFGM++, SDE‑VE) and training stability at scale.Conduct systematic empirical studies to benchmark architecture and optimization choices.Preferred QualificationsResearch ExperienceMaster’s or PhD in Computer Science, Machine Learning, or a related field or equivalent practical experience.Demonstrated experience implementing and improving state‑of‑the‑art generative image models.Deep expertise in generative modeling approaches (flow matching / diffusion, autoregressive models, VAEs, GANs, etc.).Strong background in optimization techniques, sampling, and loss‑function design.Experience with empirical scaling studies and systematic architecture research.Track record of research contributions at top ML conferences (NeurIPS, CVPR, ICCV, ICML, ICLR).Technical ExpertiseStrong proficiency in modern deep‑learning tooling (PyTorch, CUDA, Triton, FSDP, etc.).Experience training image diffusion models with billions of parameters.Familiarity with large language models or multimodal transformers is a plus.Deep understanding of attention, transformers, latent representations, and modern image‑text alignment techniques.Expertise in distributed training systems, model parallelism, and high‑throughput inference.Proven ability to implement and improve complex model architectures end to end.Engineering CapabilitiesAbility to write clean, modular research code that scales from prototype to production.Strong software‑engineering practices including testing, code review, and CI/CD.Experience with rapid prototyping and experimental design under tight iteration loops.Strong analytical skills for debugging model behavior, numerical stability, and performance bottlenecks.Familiarity with profiling and optimization tools (Nsight, TensorBoard, PyTorch Profiler, etc.).Track record of bringing research ideas to production and maintaining high code quality in a research environment.About the TeamYou’ll work directly alongside our research and engineering teams in our NYC office. We’ve intentionally built a culture where technical innovation and research excellence are highly valued. Your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We’re a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.Our Team ValuesOpen technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat Sets Us ApartOpportunity to advance the state‑of‑the‑art in multimodal video generationDirect impact on products used by millions of creatorsAccess to massive compute resources and diverse, large‑scale datasetsEnvironment that values both research excellence and practical impactAbility to validate research through direct product feedbackBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Doordash DashPass subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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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.What to know about the Japanese Support Team At Dataiku, the Support organization is focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across all 3 major regions. Our focus is to take our growth to the next stage by building out an enterprise-grade Japanese support function. We understand how providing high-integrity technical support in Japanese is crucial to the success of our Japanese customer base. As such, our Japanese support function will play an important role in helping Dataiku to successfully establish and expand its product, market presence, and business in this region.    How you’ll make an impact  We are looking for an experienced technical support engineer who is comfortable working in an early startup environment and who can help contribute to the growth of our Japanese support function as we look to scale up our local operations. As a Technical Support Engineer, you will help our Japanese and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.   Some expected outcomes for this role  Help Japanese and global customers solve their technical issues with Dataiku in Japanese and English through a variety of communication channels Communicate with our R&D team (in English) to solve complex issues and/or share feedback from our Japanese customers for future product improvement Work with other customer-facing teams in English or Japanese when escalating or rerouting issues to help ensure a proper and efficient / timely resolution Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment   What you’ll need to be successful  At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product Experience with cloud platforms such as AWS, Azure, and GCP Experience with Docker and Kubernetes Collaborative and helpful mindset with a focus on always working as a team A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors Proficiency working with Unix-based operating systems Experience with relational databases (or data warehouses like Snowflake) and SQL Ability to read and write Python or R code   What will make you stand out Experience with big data technologies, such as Hadoop or Spark  Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos Experience with ML models and LLMs   What does the hiring process look like?#LI-Hybrid #LI-AN1  Initial call with a member of our Technical Recruiting team Video call with the Japanese Technical Support Manager Technical Assessment to show your skills (Home Test) Debrief of your Tech Assessment with Support Team member Final Interview with the VP Technical Support   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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岗位职责:1、负责小红书、抖音KOC联系和合作推广2、负责小红书、抖音投流，进行AI求职辅助工具类应用和相关账号推广3、负责小红书、抖音矩阵账号运营，包括但不限于人设种草号，资讯分享号，品牌专业号等；4、参与小红书、抖音优质内容创作，能够通过分析爆款创作出稳定增长的内容形式；5、数据分析并根据数据及时优化运营链路。岗位要求:1、统招本科及以上学历，具备1-3年小红书/抖音运营经验，了解小红书/抖音运营逻辑及投放逻辑；2、有聚光投放经验者优先，有小红书/抖音达人孵化经验优先；3、有敏锐的爆款笔记嗅觉，能够结合市场优化迭代笔记类型；4、具有出色的文案写作能力，和高审美，懂得使用AI工具提升内容产出效率；5、有较多koc资源者优先