AI Software Engineer Jobs

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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. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We are seeking an experienced Contract Database / Data Warehouse Specialist to enhance the scalability, performance, and maintainability of our ML data infrastructure. The ideal candidate will bring expertise in relational databases, ETL processes, and modern big data deployments. You will work closely with our MLOps and ML engineering teams to optimize storage usage, modernize ETL pipelines, deploy new technology, and/or build / enhance tools that support analytics and machine learning workflows. Contract Duration: Minimum 6 months Location: Remote (U.S.) What You’ll Do Analyze and optimize storage strategies for ML experiment data and metadata. Design and implement intelligent retention and expiration for large-scale datasets. Modernize and refactor ETL pipelines to improve scalability and ease of maintenance. Build and enhance database-backed applications supporting ML R&D and production analytics. Collaborate with ML engineers, SREs, and platform teams. Provide knowledge transfer for long-term maintainers. What You’ll Need Proven expertise with relational databases (e.g., Postgres, Amazon RDS, Aurora), including schema design, query optimization, and performance tuning. Strong experience with ETL development and cloud data warehousing (e.g., Snowflake, Redshift). Familiarity with big data deployments and scalable architectures such as Spark and Hive. Experience with Apache Airflow for systems automation. Proficiency in Python for application development, data processing and automation. Understanding of S3-based storage and large-scale data management strategies. Ability to write clear technical documentation and collaborate effectively across teams. Experience with query optimization, data partitioning strategies, and cost optimization in cloud environments Nice to Have Background in machine learning data pipelines or analytics-heavy environments. Knowledge of data governance, retention policies, or cost-optimization strategies in cloud environments. 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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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. About the RoleEngineering at Lambda is responsible for building, operating, scaling and maintaining our AI Cloud offerings. The HPC Deployments team are responsible for deploying cutting edge NVIDIA GPU clusters on time, at scale and with 100% quality & correctness.Reporting to the Director of Fleet Engineering, you will lead and scale one of our HPC Deployments teams. This work is highly cross functional and critical to the timely success of our customers. Your team is focused on building and validating clusters deployed across our data center facilities. You will work collaboratively with Product and Infrastructure engineering teams to improve transparency, metrics, automation and overall efficiency for the team. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this Manager role. Your application is not a waste of our time.What You’ll DoLead and grow a distributed top-talent team of HPC engineers responsible for the configuration, validation, deployment of large scale GPU clusters.Work cross functionally with teams in the organization to deliver projects and deployments on time, ensuring alignment across stakeholders.Identify opportunities for efficiency improvements in the tools / process / automation that the team relies upon day to day.Ensure stakeholders have clear visibility into deployment progress, risks, and outcomes.Drive outcomes by managing staff allocations, project priorities, deadlines, and deliverables.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Stay current on the latest HPC/AI technologies and best practicesParticipate in the qualification efforts of new technologies for use in our production deploymentsYouExtensive experience in HPC or large-scale infrastructure, including at least 3 years in a leadership or management role.Work well under deadlines and structured project plans; able to successfully (and tactfully) negotiate changes to project timelinesHave excellent problem solving and troubleshooting skillsCan effectively collaborate with peer engineering managers to coordinate efforts that may impact deployment operationsAre comfortable leading and mentoring HPC engineers on cluster deployments as neededExperience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercisesNice to HaveExperience with Linux systems administration, automation, scripting/coding.Experience with containerization technologies (Docker, Kubernetes)Experience working with the technologies that underpin our cloud business (GPU acceleration, virtualization, and cloud computing)Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)Soft Skills (customer awareness, diplomacy)Bachelor’s degree or equivalent experience in a technical field.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the roleJoin our engineering team to help build the future of knowledge sharing and AI-powered learning. We're looking for talented engineers who can contribute across our technology stack. Whether you're a generalist or have deeper expertise in specific areas, we value strong engineering fundamentals and the ability to learn and grow with our team.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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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.So, what’s the role all about? We are seeking an Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the world’s largest financial institutions in the fight against financial crime. You’ll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, you’ll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing. How will you make an impact? Design, develop, and maintain automated tests for backend systems and data pipelines. Implement and manage a scalable testing framework to support continuous integration and delivery. Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics. Collaborate with developers and product managers to understand system architecture and business requirements. Participate in requirements analysis, technical reviews, and test planning. Identify, document, and track defects, drive resolution with development teams. Monitor production environments, investigate anomalies, and push for timely fixes. Ensure data health and correctness across systems. Continuously improve QA processes, tools, and best practices. Advocate for quality across the development lifecycle. Have you got what it takes? Sc. in Computer Science or related field (or equivalent experience). 5+ years of hands-on programming experience in Java, Python, JavaScript, C# or TypeScript. Strong understanding of OOP/OOD principles and software design patterns. Experience with AWS and cloud-native architectures. Familiarity with unit testing, performance testing, and debugging techniques. Hands-on experience with automation frameworks like Playwright, Selenium, or equivalent. Proficiency with Git and collaborative development workflows. Fast learner with excellent analytical and problem-solving skills. Strong communication skills and a proactive, ownership-driven mindset. Passion for building scalable, resilient systems in cloud environments. Can-doer that can take a task from plan to completion Team player, excellent communication, and presentation skill What Would Make You Stand Out? Experience with Big Data technologies such as Kafka, Flink, Spark Exposure to DevOps practices and tools like Jenkins, Terraform Background in data quality assurance and monitoring Experience with test management tools such as Jira, X-Ray, or similar What’s in it for you? Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8926   Reporting into: Group Lead, Engineering Role Type: Individual Contributor #LI-Hybrid About NiCE Actimize: NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance  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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YOUR MISSION: As our Value Engineer, you will partner with Direct SEs, Partner SEs, and Sales to quantify and articulate the business value of Agentic AI solutions. This role operates as a business advisor during pursuits — building ROI/TCO models, conducting value discovery, and delivering board-ready narratives that de-risk investment decisions.   IN THIS ROLE YOU WILL: Business Discovery Collaborate with SEs during discovery to capture KPIs, financial metrics, and business outcomes. Facilitate value discovery workshops with client executives. Business Case Development Build ROI/TCO models tailored to each client’s business. Package findings into board-level deliverables (dashboards, one-pagers, exec decks). Validate POV results against projected business outcomes. Direct Sales Alignment Partner with Direct SEs to attach ROI/TCO analysis to strategic deals. Provide executives with clear, financial justification for AI investment. Ensure solution design connects to measurable outcomes. Partner Sales Alignment Support Partner SEs by embedding VE into partner enablement materials. Train partners on how to deliver basic ROI/TCO assessments. Join joint partner pursuits as a business advisor when needed. Post-Sale Value Realization Work with Professional Services and Customer Success to track realized value. Deliver post-implementation value reviews for customer executives. Create case studies to feed back into partner and sales enablement. WHAT YOU BRING TO THE TABLE: 3+ years in Value Engineering, Solution Consulting, or Management Consulting Strong financial modeling and data analysis skills (ROI, TCO, KPI frameworks) Experience presenting to executives (CFO, COO, CIO) in enterprise accounts Familiarity with SaaS, CCaaS, AI, or enterprise technology business models Strong collaboration skills working with SEs, PS, and Partner teams Excellent storytelling and executive presentation skills WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Challenge Task → Expert interview(s) → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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The International Business Development Manager will be responsible for building Shield AI’s business opportunities with a focus on order execution and growth in Japan. The ideal candidate will possess a deep understanding of Japan’s defense procurement process and demonstrate confidence in engaging with customers, representing Shield AI at industry events, and leading product demonstrations.  You will operate on a small team with a demanding work and travel schedule and a very high level of responsibility and accountability to perform and deliver results, with the opportunity to make an outsized impact and become a major contributor to the company.  WHAT YOU'LL DO:Support the International Business Development Regional Director in executing Shield AI’s strategy and objectives. Engage with customers regularly to present and discuss Shield AI products (V-BAT, X-BAT, Hivemind Products, and ViDAR). Cultivate, nurture, and maintain strong relationships across the Japanese Government, military services, and defense industries to ensure engagements with key stakeholders Represent Shield AI at trade shows, exhibitions, and industry events, showcasing our technology and capabilities. Devise and coordinate marketing and government relations initiatives to increase Shield AI’s visibility and influence. Plan and execute product demonstrations for prospective customers and partners Customer interface with Embassy, MDAO, JMOD, ATLA, Government entities to include think tanks, academia, and local defense industry Work cross-functionally to address customer needs and provide tailored responses. Lead and coordinate proposal responses and follow through to contract award. Develop and implement offset strategies and identify and execute other U.S. defense prime offset obligations. Maintain accurate and up-to-date opportunity tracking in Salesforce and other business systems. REQUIRED QUALIFICATIONS:Bachelor’s degree or equivalent military education. Exceptional communicator: Fluent in both Japanese and English with strong written, verbal, and presentation skills and the ability to engage seamlessly at all levels of business and government. Charismatic leader who can motivate, inspire, and impart excitement about Shield AI’s mission, technology, and products with the desire to help build the defining defense technology company of this century. Thorough understanding of Japan military operations and acquisition processes with the ability to maintain strong customer relationships. Self-motivated and results-oriented, with a track record of meeting and exceeding critical goals and deadlines. Proven leadership and/or acquisition and operational experience within the U.S. DoD or international equivalents and demonstrated understanding of Japan Air, Ground, Maritime Self-Defense Force equivalent operational scenarios and systems. Technical knowledge within UAV and/or AI disciplines, or demonstrated ability to learn quickly. Willing and able to travel both domestically and internationally, frequently and without restriction, including to customer sites. Team-oriented with the ability to collaborate effectively while also being direct and forthright. Proficient in business systems and tools required for high-performance operations  PREFERRED QUALIFICATIONS:MBA or equivalent advanced degree is highly valued Prior strategy or business development experience in international defense markets. Business development experience in UAV, AI, or other defense-related technology contexts. Strong research and analysis skills. 

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About the teamAdaptive ML is helping companies build singular generative AI experiences by democratizing the use of reinforcement learning. We are building the foundational technologies, tools, and products that allow models to learn directly from user interactions and self-improve based on simple guidelines. Our founders come from diverse backgrounds and previously worked together in creating state-of-the-art open-access large language models. We closed a $20M seed with Index & ICONIQ in early 2024 and are live with our first enterprise customers.Our Product Team is responsible for transforming the technology we build into exceptional products that directly address pain points companies encounter in their generative AI deployments. We are committed to delivering a high-quality, intuitive, and robust experience for our customers.About the roleAs a Backend Engineer on our Product Team, you will help transform our technology into exceptional products. Our products allow companies to build more singular generative AI experiences with deeper personalization through reinforcement learning. We prioritize product quality, with a bias for clarity, responsiveness, and robustness, achieved through attention to detail across frontend and backend systems.You will work on the backend powering our product, collaborating closely with frontend and Technical Staff to implement new features. Challenges may include interfacing with complex GPU workloads (e.g., distributed inference/training) in a robust way and building scalable abstractions. We are looking for self-driven, ambitious individuals interested in contributing to a highly technical product that prioritizes robustness, accessibility, and responsiveness. As this is an early role, you will have the opportunity to shape our product team as we grow.This is a preferably in-person role based at our Paris or New York office.Your responsibilitiesDesign, iterate, and implement the backend of our products;Develop high-quality Rust software, with elevated standards of performance and robustness;Construct systematic processes for product development, helping remove unknowns in our strategy;Contribute to our product roadmap aligning the needs of our Commercial Team with the latest advancements from our Technical Team;Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication.Your (ideal) backgroundThe background below is only suggestive of a few pointers we believe could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.Significant experience (at least 6-10 years) in software development;Strong software engineering skills, with a focus on robustness and performance;Strong knowledge and experience of PostgreSQL.Minimal knowledge of PythonA track record of shipping ambitious technical products under tight deadlines;A deep concern for user experience;Passionate about the future of generative AI, and eager to build foundational technology to help machines deliver more singular experiences.BenefitsComprehensive medical (health, dental, and vision) insurance;401(k) plan with 4% matching (or equivalent);Unlimited PTO — we strongly encourage at least 5 weeks each year;Mental health, wellness, and personal development stipends;Visa sponsorship if you wish to relocate to New York or Paris.

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months. To be eligible, you must have authorization to work in the U.S.  The Human Frontier Collective (HFC) at Scale AI brings together domain experts, including PhDs, postdocs, advanced researchers, and elite professionals across diverse fields, to engage directly in pioneering generative AI research. As an HFC Legal Fellow, you will directly influence AI models tailored for practical legal applications, enabling cutting-edge tools to support lawyers in real-world scenarios. This role offers a unique opportunity to gain hands-on experience shaping AI technology specifically within the legal profession. What You'll Do Create and Evaluate Real-World Legal Scenarios: Design realistic, complex legal scenarios that reflect practical challenges faced by attorneys, enabling robust testing and refinement of AI model capabilities. Collaborative AI Model Testing: Actively participate in interactive research sessions, assessing AI-generated legal content for accuracy, practical relevance, and adherence to regulatory standards. Directly Influence AI Development: Provide detailed feedback on model performance, highlighting strengths and identifying areas for improvement to better align AI capabilities with real-world legal practice. Domain-Specific AI Projects: Collaborate on specialized projects in fields such as regulatory compliance, litigation strategy, case law analysis, and contract law, enhancing AI's applicability across diverse legal disciplines. Thought Leadership in Legal AI: Contribute to and co-author thought-leading white papers, technical analyses, webinars, and panels, helping drive industry-wide conversations about AI's role in law. Networking and Professional Development: Join an exclusive community of leading legal experts, AI researchers, and industry innovators through dedicated mentorship and networking opportunities. Who Should Apply Educational Background: JD, LLM, or currently enrolled in a prestigious 2L/3L program. Certifications: Bar admission in any jurisdiction strongly preferred. Professional Experience: Experience as an Associate Attorney, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for legal technology and a commitment to interdisciplinary collaboration. Why Join the HFC? Shape Legal Technology: Directly contribute to the creation and refinement of generative AI technologies specifically designed to address real-world legal needs. Professional Growth: Engage with cutting-edge AI, receive mentorship from legal and AI leaders, and enhance your professional reputation through impactful contributions. Recognition and Reward: Highly competitive compensation ($80-120/hour) depending on projects, with additional recognition opportunities based on your impact. Advance the Frontiers of Generative AI Join the Human Frontier Collective and contribute your expertise to meaningful AI research and practical industry challenges.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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: As Data Operations Manager for Computer Use & Tool Use, you'll build and scale data operations that advance Claude's computer use capabilities and tool use safety. You'll partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This is a zero-to-one role requiring technical depth to understand what makes high-quality training data for autonomous agents, but your focus will be on strategy and execution rather than hands-on engineering. Think technical founder who evolved from writing code to building the business. About the Impact: The data strategies and operations you build will directly determine how well Claude can use tools safely, operate computers autonomously, and maintain quality across long-horizon agentic workflows. You'll work with world-class researchers advancing frontier capabilities, safety, and model performance while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality for complex, multi-turn agent interactions - someone who can think strategically about data needs for both capabilities and safety, build the right partnerships, and execute flawlessly. If you thrive at the intersection of technical depth and operational excellence, we'd love to hear from you. Responsibilities: Develop and execute data strategies for computer use, tool use safety, and agentic AI research Partner with research leaders to translate technical requirements into operational frameworks Build data collection and evaluation systems for complex scenarios: prompt injection robustness, multi-turn agent conversations, adversarial attacks, autonomous workflows Scale the generation of realistic evaluation environments that capture real-world tool use and computer use challenges Identify, evaluate, and manage specialized contractors and vendors for technical data collection Implement quality control processes to ensure data meets training requirements for both capabilities and safety Manage multiple complex projects simultaneously, balancing research velocity with rigorous evaluation standards Track metrics and communicate progress to stakeholders You may be a good fit if you: Have 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale Have strong technical foundations - proficiency in Python and understanding of ML workflows, RL environments, and evaluation frameworks Have strong communication skills and can effectively engage with both technical and non-technical stakeholders Are familiar with how LLMs work and could describe concepts like RLHF, tool use, and agentic workflows Understand the unique challenges of evaluating autonomous systems and long-horizon agent behaviors Are highly organized and can manage multiple parallel workstreams effectively Have a high threshold for navigating ambiguity and can balance strategic priorities with rapid execution Thrive in fast-paced research environments with shifting priorities and novel technical challenges Are passionate about AI safety and understand the critical importance of high-quality data in building safe, capable agentic systems Strong candidates may also have: Experience at companies training AI models, building AI agents, or creating AI training data, evaluations, or environments Knowledge of computer and tool use safety challenges like prompt injection, data exfiltration attempts, or adversarial attacks Experience with RLHF, reinforcement learning techniques, or similar human-in-the-loop training methods Domain expertise in computer use automation, security, or AI safety evaluation Familiarity with model performance monitoring, training observability, or quality assessment systems Track record of building and scaling operations teams The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$250,000—$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact: The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$250,000—$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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We’re looking for an AI Engineer – Frontend who’s excited to turn cutting-edge AI ideas into seamless, beautiful user experiences. You’ll take the lead in building fast, intuitive, and scalable interfaces that power our developer tools and AI products — bringing ideas from prototype to production. This is a unique opportunity to work at the intersection of AI, design, and engineering, collaborating closely with cross-functional teams to craft products that are as powerful as they are delightful to use. This is a full-time, hybrid role based in Mountain View, California. Here’s what you’ll do:Own the frontend experience of our platform — architecting, building, and shipping responsive, high-performance interfaces in TypeScript, JavaScript, and React.Collaborate closely with product, design, and backend teams to deliver seamless end-to-end user experiences.Translate complex user needs and product requirements into elegant, maintainable, and scalable frontend solutions.Integrate frontend components with backend APIs and services — and, where possible, contribute to backend logic in JavaScript/Node.js.Rapidly prototype new features and experiments, leveraging AI-assisted coding workflows to accelerate iteration.Work on interfaces that connect directly with LLMs, AI agents, and other frontier models, building intuitive user experiences around powerful AI capabilities.Participate in code reviews, technical design discussions, and continuous improvement of engineering practices.Monitor performance, identify bottlenecks, and ensure applications run smoothly at scale. Here are the skills you should have:2–4 years of professional experience building modern web applications.Strong proficiency in TypeScript, JavaScript, and React.Solid understanding of frontend architecture, component design, and state management patterns. Experience integrating APIs and working collaboratively with backend teams.Familiarity with AI models, LLMs, or AI agents — and a curiosity to keep exploring the latest developments in GenAI.Clear communication skills and the ability to work cross-functionally in a fast-paced, collaborative environment. Bonus Points:Experience contributing to backend services (Node.js, Express, or similar).Built developer-focused products or tools, especially in the AI or infrastructure space.Worked on AI-driven interfaces or products that interact with foundation models.Experience building 0→1 products or working in early-stage startup environments.Interest in education, developer experience, or enabling others to succeed with AI.

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We’re looking for a Product Designer who loves turning ideas into real, tangible products. You’ll take concepts from zero to one — owning the entire design process from discovery to launch. You’ll work on a variety of projects, from new AI-powered products to developer tools, collaborating closely with product and engineering to move fast, test ideas, and craft experiences that make advanced technology feel simple, intuitive, and a joy to use. This is a full-time, hybrid role based in Mountain View, California. Here’s what you’ll do:Own the full design lifecycle — from discovery and research to ideation, prototyping, visual design, delivery, and iteration.Partner with product and engineering teams to translate user insights and strategic goals into impactful experiences.Conduct user research and usability testing to identify pain points and opportunities, turning insights into actionable design solutions.Design elegant, responsive, and accessible user interfaces in Figma, ensuring every interaction feels seamless and intuitive.Work with, add to, and maintain a scalable Design System — including components, documentation, and interaction patterns — to ensure consistency and speed across platforms.Rapidly prototype new ideas using tools like Figma Make and v0, leveraging AI to accelerate exploration and validation.Collaborate with engineers to ensure design intent is implemented effectively — and, where possible, contribute to front-end prototypes using AI-assisted coding workflows.Continuously measure and refine design decisions based on product data, user feedback, and key success metrics. Here are the skills you should have:A passion for designing products that make a real impact and solve meaningful user problems.4+ years of experience designing digital products end-to-end, with a portfolio showcasing shipped work across web and mobile platforms.Strong skills in user research, usability testing, and turning insights into product decisions.Proven experience designing high-quality interfaces and managing design systems from the ground up.Proficiency with Figma and prototyping tools, including AI-powered solutions like Figma Make or v0. Experience and familiarity with coding is a huge plus!Experience collaborating closely with engineers and PMs throughout the product development lifecycle.Curiosity about technical implementation and comfort discussing design decisions with technical depth.Excellent communication skills in English and the ability to articulate design rationale to diverse stakeholders. Bonus points if you have:Experience building 0→1 products or working in early-stage environments.Familiarity with accessibility standards and inclusive design practices.Understanding of front-end fundamentals (e.g., HTML, CSS, Tailwind) and the ability to prototype or code with AI tools.Experience in AI products consumer/B2C products and/or designing for developer-focused platforms.

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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 team?The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating Kubernetes GPU superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. We’re hiring software engineers at multiple levels. Whether you’re early in your career or a seasoned staff engineer, you’ll find opportunities to grow and make an impact here. Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.As a Software Engineer in the Internal Infrastructure team, you will:Build and operate Kubernetes compute superclusters across multiple cloudsPartner with cloud providers to optimize infrastructure costs, performance, and reliability for AI workloadsWork closely with research teams to understand their infrastructure needs and identify ways to improve stability, performance, and efficiency of novel model training techniquesDesign and build resilient, scalable systems for training AI models, focusing on creating intuitive user interfaces that empower researchers to self-serve to troubleshoot and resolve problemsEncourage software best practices across our company and participate in team processes such as knowledge sharing, reviews, and on-callYou may be a good fit if you:Have deep experience running Kubernetes clusters at scale and/or scaling and troubleshooting Cloud Native infrastructure, including Infrastructure as CodeHave strong programming skills in Go or PythonPrefer contributing to Open Source solutions rather than building solutions from the ground upAre self-directed and adaptable, and excel at identifying and solving key problemsDraw motivation from building systems that help others be more productiveSee mentorship, knowledge transfer, and review as essential prerequisites for a healthy teamHave excellent communication skills and thrive in fast-paced environmentsBonus qualifications:You've previously worked with ML training infrastructure and GPU workloads and have familiarity with RDMA networkingYou have expertise to support and troubleshoot low level Linux systemsYou have experience collaborating with research teams or machine learning engineersIf 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, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the RoleWe're looking for a Data Scientist to build and scale Opus's data capabilities. This role sits at the crossroads of data engineering, applied data science, and product strategy. You'll lead high-impact projects across growth, CRM, customer experience, payments, web tracking, experimentation, and LLM-driven analytics—working closely with cross-functional partners to drive measurable business outcomes.This is a hands-on role: you'll define data vision, architectural systems, and roll up your sleeves to build pipelines, models, and advanced analyses that power Opus's growth.ResponsibilitiesData Engineering & InfrastructureDesign, implement, and maintain robust pipelines across multiple sources, including GCS, MongoDB, and third-party SaaS platforms.Ensure scalable ingestion, transformation, and governance of structured and unstructured data.Applied Data Science & AnalyticsLead advanced analyses across growth, CRM/CX, payment flows, and web tracking.Build marketing attribution models to measure ROI and optimize spend.Analyze user lifecycle and retention patterns, including churn risk, reactivation triggers, and CLV.Develop predictive models on user behavior to power personalization and recommendations.Create user segmentation and tagging frameworks to enable targeted engagement strategies.Evaluate CX metrics (NPS, CSAT, support efficiency) to inform product and ops improvements.Establish best practices in A/B testing and post-experiment evaluation.Prior experience in these areas is highly valued.Experimentation & InsightsPartner with product and business teams to design experiments and interpret results.Drive rigor in experiment design, metric selection, and causal inference.Leadership & StrategyDefine the data science roadmap / priority and align it with company goal.Mentor and grow a scrappy, high-performing team of data engineers and analysts.Act as a thought partner across GTM and BD initiatives, enabling data-driven decisions.RequirementsExperience3~5 years of experience in data-related roles, with a strong individual contributor (IC) backgroundProven track record of leading projects end-to-end in a fast-paced, high-ownership environment.EducationBachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related).Master's degree preferred, though not strictly required, if compensated by strong industry experience.Technical ExpertiseStrong proficiency in Python and SQL, with hands-on experience across the data lifecycle.Experience with the modern data stack (BigQuery, dbt, Superset, Statsig).Solid data engineering skills with cloud storage (e.g., GCS), NoSQL databases (e.g., MongoDB), and SaaS integrations.Familiarity with workflow orchestration (e.g., Airflow) to automate and manage pipelines.Mastery of working in notebooks (e.g., Jupyter, Databricks), comfortable digging into raw data repositories and producing reproducible analyses.Familiar with LLM and agent workflows, curious and eager to push the frontier.Strong end-to-end development skills: from data ingestion and cleaning through modeling, analysis, deployment, and monitoring.Analytical ExcellenceDeep experience in A/B testing, experimentation platforms, and post-experiment analysis.Strong statistical intuition with the ability to translate results into actionable insights.Domain ExperienceExposure to CRM/CX, payments, web tracking, and user data.Experience building data products that support BD and customer-facing use cases.Leadership & CollaborationAbility to balance hands-on execution with strategic leadership.Experience in fast-paced startup environments, collaborating with product, engineering, and GTM teams.Nice to HaveExperience with ML in production, including deployment and monitoring.Interest in building and experimenting with data-driven agents, including prototyping agentic workflows.Familiarity with reinforcement learning and experimentation frameworks, ideally with human-in-the-loop (HITL) evaluation.Working knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines for LLM-powered applications.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a Glance Our Forward Deployed Engineers are not support engineers, they’re builders. This is not your typical software engineering role. We are on the ground, shoulder to shoulder with our clients - whether it's working on predictive maintenance on US Navy ships, aiding the Air Force or sitting in on a boiler inspection - we are the first line of defense in solving these hard hitting problems. We are not afraid to pick up new technologies and will use whatever tool we have in our toolbox to create change. When our priorities shift, we shift with them. We don’t just speak to our clients about their problems, we travel (often) to their sites to see first hand what they are experiencing. We are impact makers - game changers. We are leveraging data and insight from team members across Gecko to build the best possible solution for our clients. Are you ready to join us?Technologies We UsePython, JavaScript, ReactGoogle Cloud, Amazon Web ServicesWhat you will doSolve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don’t quit until we’ve reached impact. Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so.About YouBachelor’s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.Understanding of how technical decisions impact the user of what you’re building.Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages.Ability to work effectively in teams of technical and non-technical individuals.Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.Willingness and interest to travel as needed up to 50%.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.At n8n, we’re always excited to connect with exceptional product managers and product designers who are passionate about building intuitive, powerful, and user-centric experiences.This Product & Design Talent Pool is not for a specific open role but it’s a way for us to stay in touch with talented professionals who could be a strong fit for future opportunities in Product Management, Product Design, and UX Research. And yes, we do check this regularly. We’re particularly interested in connecting with past founders, relatively technical profiles, and AI optimists who want to push the boundaries of what’s possible in workflow automation.What You’ll BringExtensive experience driving product vision, strategy, and execution, ideally in fast-growing environments.A strong product sense and design craft, with a proven ability to balance user needs and business impact.You use AI daily in your work as a PM and you know how to codeComfort working across functions, aligning teams, and turning complex challenges into simple, elegant solutions.A curious, data-informed mindset with the creativity to imagine new possibilities.Enthusiasm for emerging technologies, especially automation and AI-driven innovation.What We ValueA product-first mindset rooted in empathy for users.Former founders & Entrepreneurs.Curiosity about workflow automation, orchestration, and the future of AI.Ownership and adaptability in fast-changing contexts.Forward-thinking creativity and optimism about what technology can enable.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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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?To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.  Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.As a Cohere Research Intern, you will:Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.Disseminate your research results through the production of publications, datasets, and code.Contribute to research initiatives that have practical applications in Cohere’s product development. You may be a good fit if you:Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period. Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.Are familiar with autoregressive sequence models, such as Transformers.Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly. Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.Have previous experience in building systems based on machine learning and deep learning techniques. Demonstrate passion for applied NLP models and products.Preferred Qualifications: Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science. Proven ability to tackle analytical problems using quantitative methodologies. Proficiency in handling and analysing complex, high-dimensional data from various sources.Experience in applying theoretical and empirical research to real-world problem-solving.If 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, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs Senior Corporate Counsel, you will serve as a trusted advisor to product, engineering, and security teams, embedding legal and compliance frameworks into our product lifecycle. You will deliver practical, business-oriented guidance that supports innovation while ensuring compliance with healthcare, privacy, and other regulatory requirements. This is an opportunity to be at the forefront of AI in healthcare.What You’ll DoServe as product counsel, partnering across the engineering, product, and security teams to support product design, development, and deployment.Provide actionable legal guidance on regulatory, privacy, and compliance matters, including HIPAA, CCPA/CPRA, and the evolving AI/ML landscape.Advise on healthcare regulatory compliance, including FDA, FTC, fraud and abuse (FCA, AKS), and related state laws.Partner with other cross-functional teams including policy, partner experience, marketing, IT, finance, corporate development, and commercial to ensure alignment and mitigate risk.Support privacy impact assessments, compliance risk assessments, and data governance efforts and frameworks.Coordinate with external counsel to resolve specialist issues and ensure fast delivery of actionable legal guidance and risk analysis.Monitor emerging regulations around AI, data use, and healthcare technology and advise internal stakeholders on their implications.What You’ll BringPassion for Abridge’s mission and the energy and drive to support a fast-moving product and operational teams8+ years of legal experience, including 4+ years in product counseling. Prior in-house, government, or law firm experience focused on healthcare is a requirement.Strong understanding of and experience with federal and state healthcare laws, including HIPAA and data privacy regulationsExperience with FDA, FTC, FCA and fraud, waste, and abuse laws.Proven ability to communicate and translate complex regulatory and legal concepts into clear, practical guidance for non-legal counterparts and colleagues.Comfort and confidence with juggling a high volume of projects, tight timelines, and competing priorities.Demonstrated ability to work independently and exercise business judgement; interest in joining a small team that prioritizes autonomy and trust.Proven ability to work cross-functionally, particularly with technical teams, designers, and commercial teams, building relationships and earning their confidence.Creativity in solving and navigating novel legal matters; experience in crafting new processes and language to meet the needs of a rapidly-moving enterprise in a novel industry.Bonus Points If…Expertise in intellectual property, AI, interoperability, or technology lawFamiliarity with recent trends in artificial intelligence, particularly with large language models and responsible AI principlesPrior in-house experience (bonus points if at a growth-stage or healthcare technology company)This role is a remote position, but preference in either San Francisco or New York City.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 LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.We’re doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what’s next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD 50m from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:The largest telehealth company in Australia,The largest bank for teens in the US,One of the largest NFT marketplaces by trading volumeOne of the largest Web3 gaming companies… and a handful of other enterprise customers with over 1 million support tickets a year.What’s unique about this opportunity?Technical founders and an engineering-led culture. Most at Lorikeet write code. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers will take ownership of challenging problems and define and implement solutions.Warm, mature, in-person, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We value working together in office as the default in our (quite nice!) Surry Hills office. Folks on the team have young families, so we embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. We’re building a small, great team. Engineers are generally underpaid in Sydney and under compensated with equity. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team get the same monthly updates we send to our investors because they’re investors and owners too.On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilites and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.No nonsense recruitment process. The process is: 1) informal chats with Steve and Jamie to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. There’s no better way for each of us to figure out if we like working together than to work together!About the role and youYou'll be building a powerful project that is truly innovating the world of customer support. Together we'll be defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs.We'd love to speak with you ifYou are excited by working with a top caliber team tackling the aboveYou have 2-5 years of experience shipping code at a startup or larger company with high standardsYou're looking for a career-defining change to grow rapidly with a fast growing companyIf you don't quite match this and are from and under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences..

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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks. As a Staff Research Scientist, your role will involve choosing the most cutting-edge methods, creating training and data collection systems, overseeing the evaluation of these algorithms in simulated environments, and implementing them on our robots in real-world situations. You will also enjoy the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous hands. Success CriteriaCreate, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applicationsStay current with the latest developments in RL/IL techniques and their application in roboticsIdentify, communicate, and lead research initiatives that show promise to the wider ML teamDiscover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalabilityDevise RL/IL training and data collection pipelines to expedite implementation on physical robotsCollaborate within a diverse team to devise innovative algorithms and investigate the root causes of errors in existing implementations Your ExperienceQualificationsPh.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in Reinforcement Learning and/or Imitation Learning 5+ years of hands-on experience implementing and deploying robotic manipulation tasks, both in simulation and on physical robots5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement LearningProven expertise in continual learning, employing adaptive model training to improve long-term performance and accuracyProven expertise in sim-to-real transferExperience in transitioning Machine Learning research and trained models into real-world productionActive involvement in integrating Machine Learning models into a robotics platformA track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL SkillsDevelopment with Python 3.8 or laterWorking knowledge of PyTorch and/or TensorFlowFamiliarity with ROS2Expertise in use of Reinforcement Learning principles and their applicationExperience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsStrong leadership skills in organizing R&D work for ML projectsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesEnthusiasm for bringing human-like intelligence to machinesAbility to drive development of new functionalities from concept to productionAbility to multitask and prioritize in a fast paced environment