AI Data Science & Analytics Jobs

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.   Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.   About you [Minimum qualifications] BS/MS degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to work in a fast-moving team environment and juggle many tasks and projects Eagerness to change the world in a huge way by being a self-motivated learner and builder [Preferred qualifications] Experience working with ClickHouse is a big plus Contributing to open source projects is a huge plus (please include your github link) Experience working with Python, Scala/Java is a plus Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus   Experience with Public Cloud like AWS or GCP is a plus    #LI-AK1

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who built Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage impact with proven traction: Dozens of paying customers, rapidly growing revenue, and strong market signals—all in the high-impact environment of an early-stage startup.Tackling a massive healthcare challenge: Address a critical problem in communication that affects millions of patients and providers daily, using technology that truly transforms the patient experience.Technical founding team: Collaborate directly with experienced founders who understand healthcare operations and technical development, enabling faster decisions and better outcomes.Cutting-edge tech frontier: Harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to build conversational agents that push healthcare innovation beyond current limits.In-person collaboration advantage: We've prioritized in-person work from day one for faster progress, stronger team bonds, and a cohesive culture.ResponsibilitiesEmbed with customer teams to deploy and optimize AI agents in live healthcare environments.Collaborate with engineering and product teams to customize solutions based on client feedback.Troubleshoot and iterate on healthcare integrations to ensure seamless performance.Drive customer success through onsite training, support, and relationship management.Contribute to product roadmap by identifying real-world challenges faced by customersRequirementsTechnical excellence with customer focus: 3+ years of engineering experience, with a proven track record of shipping production systems while working directly with customers.Healthcare systems experience: Familiarity with healthcare workflows, EHR integrations, or regulated environments (HIPAA compliance is a plus).Full-stack engineering skills: Proficiency in our tech stack (Node.js, TypeScript, React, PostgreSQL), with the ability to build reliable integrations and debug complex systems.Travel flexibility: Willingness to travel to customer sites 15-25% of the time for onsite deployments and relationship building.High agency and ownership: Comfortable in ambiguous situations, making independent decisions, and taking full responsibility for customer success.Interesting Technical ChallengesHealthcare-specific AI tuning: Configure voice agents to handle medical terminology, clinical context, and patient communication with empathy and accuracy.Complex workflow orchestration: Map and automate multi-step processes spanning scheduling, insurance verification, prescription management, and clinical documentation.Real-time system reliability: Maintain sub-second response times and 99.9% uptime for mission-critical healthcare communications.Secure, compliant integrations: Build robust connections with legacy systems while ensuring HIPAA compliance and protecting sensitive patient data.Scale personalization: Deploy AI agents that adapt to each organization's unique protocols, terminology, and style while maintaining consistent quality.What we offerDirect mentorship: Work closely with our founding team and experienced engineering leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (30 min) [Virtual]: Discuss your relevant experience and technical strengths.System Design Screen (1 hr) [Virtual]: Exercise focused on designing LLM-based applications.Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare.Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively.If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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About the roleAs a Deployment Strategist at Greenlite, you'll lead the charge deploying AI agents in highly regulated banking environments that help banks and fintechs fight financial crime at massive scale. You'll work directly with our biggest customers ensuring our AI deployments solve real customer problems while driving expansion of our enterprise contracts. Your deployment work is informed by real customer needs and impacts our entire platform, so you need to build strong relationships, work effectively with go-to-market and engineering teams, understand complex banking workflows, and adapt quickly.You're an exceptional deployment strategist who understands that financial institutions need customized guidance when adopting AI for compliance workflows. You'll synthesize disconnected streams of customer problems into understanding what the most important challenges are, what the data means, what the product needs, and where the impact could be. You're not just implementing solutions—you're building deployment strategies based on what our most sophisticated customers actually need for their compliance operations.Please Note: We work in-person Monday through Friday in our SF office.What you'll doMonth 1:Master our AI agent platform and understand complex banking compliance workflowsShadow experienced team members on live customer deployments and enterprise demosBuild and deliver your first demos to prospective customersMonth 2:Own end-to-end deployment strategy for major bank and fintech enterprise contractsLead customized workflow implementations and training sessions for new customer user groupsPartner with go-to-market and engineering teams to turn field insights into cross-company product offeringsBecome the go-to expert for AI agent deployments in regulated environmentsOngoing:Lead AI agent deployments in highly regulated banking environments that meet the highest quality standardsCollaborate with go-to-market teams to expand enterprise contracts and identify new use cases for customer workflowsPresent results and proposals to audiences ranging from analysts to C-suite banking executivesEmbed with product and engineering teams to incorporate customer insights into platform improvementsWhat we're looking for3+ years of experience in B2B customer-facing technical roles, preferably in fintech or enterprise SaaSBackground in AI deployment, product management, or strategy consultingExperience working with highly regulated industries, especially banking or financial servicesAbility to translate complex technical concepts into clear, actionable insights for non-technical stakeholdersExceptional communication skills and ability to build relationships with banking executivesAbility to roll up your sleeves and dig into the most granular problems for enterprise customersComfortable in fast-paced environments with willingness to travel as neededBonus points:Experience with programming, scripting, or statistical packages (Python, R, SQL)Previous experience at startups scaling customer deployments for enterprise clientsBackground in compliance, risk, or financial services operationsExperience presenting to C-suite executives and building executive relationshipsAbout youYou're a deployment strategist who thrives at the intersection of technical solutions and customer success. You understand that effective deployment strategy means diving deep into customer workflows to build solutions that solve real business problems, not just implementing generic software. You're comfortable balancing technical complexity with relationship building, and you want your deployment expertise to have direct, measurable impact on how financial institutions adopt AI to fight crime.Compensation & Benefits$130k - $170k + equityComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We've got you covered with DoorDash and an Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

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About UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.OverviewWe are seeking an experienced Pharmaceutical Safety Medical Doctor with a proven background in health technology to join our cross-functional team as a Contract Medical Safety Expert. This role is central to developing and validating an AI-powered adverse event (AE) detection engine that can accurately identify and categorize FDA-reportable events from unstructured and structured medical data.This contractor will play a key role in helping Hippocratic AI create a robust system that meets regulatory standards and clinical expectations while working at the intersection of pharmacovigilance, clinical safety, and cutting-edge artificial intelligence.Key ResponsibilitiesSubject Matter Expertise: Provide expert clinical and regulatory guidance on pharmacovigilance, especially around US FDA requirements for AE reporting and MedWatch compliance.AI Model Development Collaboration:Partner with the AI/ML and Clinical Informatics teams to design annotation schemas and decision logic related to AE identification.Define clinically validated criteria to distinguish reportable vs. non-reportable events.Contribute to the design and refinement of classification taxonomies for adverse events, seriousness, and expectedness.Quality & Safety Oversight:Review model outputs and participate in error analysis of AI-generated AE classifications.Help define “safe fail” protocols for uncertain or ambiguous cases.Data Strategy Support:Inform data collection strategies and guide labeling/annotation efforts for adverse event corpora.Collaborate on test sets that simulate real-world AE reporting cases across various therapeutic areas.Regulatory Alignment:Ensure compliance with FDA pharmacovigilance standards (21 CFR Part 314, ICH E2A/E2D, etc.).Liaise with internal quality and regulatory stakeholders to audit model readiness for future deployment.Stakeholder Communication:Summarize clinical safety perspectives for cross-functional leadership and potential external partners.Contribute to documentation supporting FDA or regulatory body interactions, if required.Required QualificationsMD (Doctor of Medicine) with board certification strongly preferred.5+ years of experience in pharmacovigilance or drug safety within a pharma, biotech, or CRO environment.At least 2 years of experience collaborating with or working at a health tech or AI/ML-focused company, ideally involving clinical data or regulatory technology products.Strong familiarity with FDA AE reporting requirements, MedDRA, and ICH E2B guidelines.Clinical expertise in therapeutic areas such as primary care, internal medicine, or neurology is a plus.Experience working with or reviewing outputs from NLP/LLM or AI-based systems is highly desirable.Exceptional attention to detail, with a strong sense of clinical judgment and ethical responsibility.Nice to HaveExperience with AI model validation or human-in-the-loop review systems.Familiarity with tools like MedDRA, WHODrug, Argus Safety, or other AE signal detection platforms.Prior involvement in developing medical ontologies or rule-based decision frameworks.CompensationCompetitive hourly or monthly consulting rate (commensurate with experience).Flexible schedule with expected 10–20 hours/week depending on project phase.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco 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. What You’ll DoDeploy and operate observability platforms for logging, metrics, and distributed tracing.Automate the deployment and operation of these observability systems.Set up monitoring for modern AI/HPC clusters.Develop platform software to make observability adoptable and improve system reliability across Lambda engineering.Lead members of other engineering teams to design and develop solutions for their monitoring challenges.YouHave 8+ years of experience in software engineering, with 3+ years in GoHave 5+ years of experience in Site Reliability Engineering practicesPossess proven understanding of Observability tools and practicesHave experience with application deployment and monitoring using KubernetesHave experience building CI/CD pipelinesExpect quality and reliability from the solutions you buildEnjoy collaborating across team boundaries to help our engineering teams meet their observability needs.Nice to HaveExperience monitoring AI systems or HPC clustersExperience with Prometheus and writing queries in PromQLExperience with messaging systems like NATSUnderstanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collectorExperience with network monitoring, Ethernet and InfinibandUnderstanding of dashboard design principlesStrong understanding of Linux fundamentals and system administration.Experience with infrastructure automation tooling such as Ansible and TerraformSalary Range InformationBased on market data and other factors, the annual salary range for this position is $267K-$401K. 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, ~350 employees (2024) 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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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.The RoleAs a Strategy & Growth Executive , you will partner directly with CEOs and C-suite executives to drive AI-led transformation for the world's most influential companies. You will identify high-impact AI opportunities, shape billion-dollar strategic initiatives, and lead executive-level engagements that drive measurable competitive advantage. This is a high-impact, high-visibility role that demands exceptional strategic thinking, robust relationship-building skills, and expert level deal execution. You will be at the forefront of shaping the future of AI adoption at scale—from identifying transformation opportunities to closing large-scale strategic partnerships.Key ResponsibilitiesExecutive Advisory: Provide guidance to CXOs on AI-driven competitive strategies and enterprise transformation.Opportunity Creation: Proactively identify opportunities, shape, and drive AI-led business transformations that unlock revenue streams and generate substantial enterprise value.CXO Engagement: Establish and maintain deep, trusted relationships with executive leaders.Strategic Deal-Making: Lead negotiations, and close $XXmm+ partnerships that create $XXXmm+ impact.Market Intelligence: Monitor AI adoption patterns, emerging enterprise trends, and industry shifts to inform strategic decisions. Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, company ethos, and mission.Qualifications & ExperienceProven success in leading and delivering a $XXmm+ strategic initiative.Experience advising Fortune Global 1000 executives or political leaders, showcasing your ability to navigate high-stakes decision-makingA strong desire to work closely with technologists and actively seek and integrate constructive feedback.Deep understanding of AI technology or of enterprise transformation – ideally both.Exceptional storytelling and communication skills to effectively influence diverse audiences.Demonstrated resilience, adaptability and a passion for innovation in dynamic environments.  Why Join Us?Shape the Future: Lead AI transformations that will re-define the next century’s most influential companies.Pick and Build the Winners: Work with top enterprises to identify, transform, and scale the winners of the AI Economy.Operate at the Highest Level: Engage directly with CEOs and C-suite executives to drive billion-dollar impact.High-Growth, High-Upside: Be a key player in a hyper-growth startup backed by the best in AI and enterprise, with a tremendous upside.Elite Team, Mission-Driven Culture: Work with top AI talent that emphasizes high-impact, deep-ownership and a shared mission for excellence..

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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.Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!The expected salary range for this position is:Annual Salary:$340,000—$425,000 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 the TeamAt OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.In This Role, You Will:Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.You Might Thrive In This Role If You:Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.About the RoleAs a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.Improve performance, resilience, and scalability of core services that power customer-facing applications.You might thrive in this role if you:Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Join our client's team as a Production Supervisor and AI Trainer, where you'll have a central role in crafting AI solutions that drive manufacturing excellence. Utilize your hands-on experience as a subject matter expert to supervise and coordinate production and operating workers, contributing to the training and refinement of advanced AI models. This unique opportunity allows you to merge your industry knowledge with cutting-edge AI technology—all from the comfort of your own home. Key Responsibilities:Provide expert insights to enhance AI systems' ability to recognize and interpret supervisory tasks in production environments.Analyze, annotate, and evaluate datasets, workflows, and instructions relevant to supervisory roles overseeing operators, inspectors, assemblers, and fabricators.Review and validate AI-generated content for accuracy and applicability to real-world production supervision scenarios.Assist in the creation and refinement of documentation and AI prompts, ensuring they reflect industry best practices with clarity and precision.Collaborate remotely with cross-functional teams to improve the quality and effectiveness of AI-driven training materials.Offer actionable feedback, emphasizing the nuances of direct supervision and coordination within a production context.Promote safety, continuous improvement, and operational efficiency in all training initiatives. Required Skills and Qualifications:Proven experience as a Production Supervisor, Manufacturing Supervisor, Quality Assurance Supervisor, or a similar first-line leadership role in a manufacturing or production setting.Comprehensive understanding of direct supervision and coordination of production and operating workers, including inspectors, machine operators, assemblers, and plant/system operators.Excellent written and verbal communication skills, with an emphasis on clarity and detail.Strong analytical skills and attention to detail for evaluating AI outputs and processes.Ability to work independently in a remote setting and manage deadlines effectively.Proficiency in digital tools and a willingness to learn new technologies related to AI training.Ability to provide constructive feedback within a collaborative team environment. Preferred Qualifications:Experience in AI, machine learning, or technology-driven process improvement projects.Involvement in digital transformation initiatives within manufacturing or production environments.Familiarity with training, coaching, or educational roles aimed at operators or supervisors. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our client's team as a Shipping Clerk and AI Trainer, where you'll play a critical role at the intersection of shipping expertise and advanced technology. In this distinctive position, you'll utilize your industry experience to aid in the development and training of AI systems, ensuring they accurately reflect the realities of current shipping, receiving, and inventory management. Share your expertise as a subject matter expert (SME) while working remotely with a dynamic and forward-thinking team. Key Responsibilities:Verify and maintain accurate records of all incoming and outgoing shipments, ensuring compliance with both company policies and regulatory standards.Document, track, and manage inventory using best practices and digital tools.Coordinate transportation logistics to ensure timely and efficient delivery.Prepare shipments by packing, labeling, and documenting shipment details.Collaborate with cross-functional teams to enhance and refine shipping processes.Serve as an SME for AI training, providing feedback and annotating data to enhance AI performance.Communicate effectively, both in writing and verbally, with team members and technical staff. Required Skills and Qualifications:Demonstrated experience in roles such as Shipping Clerk, Receiver, or Order Fulfillment Specialist.Excellent written and verbal communication skills.Strong attention to detail and organizational skills.Proficiency with digital platforms and inventory management systems.Ability to work independently and as part of a remote team.Strong analytical and problem-solving skills.Enthusiasm for sharing expertise to support AI development and data annotation tasks. Preferred Qualifications:Experience collaborating with technical or product teams.Familiarity with AI systems, data labeling, or machine learning projects.Background in process improvement initiatives within shipping or logistics settings. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Sales Engineer specializing in AI training to join one of our clients, where you'll be at the heart of technological innovation and business growth. In this innovative part-time, remote role, your engineering expertise will guide AI system training, enhance the sales journey, and equip teams with state-of-the-art insights. Key Responsibilities:Act as the AI training subject matter expert (SME), leading the creation and deployment of AI-based sales solutions.Simplify complex technical ideas into valuable insights for AI systems and sales team members alike.Provide expert technical support for both pre-sales and post-sales engagements, customized to client requirements.Work alongside product and engineering teams to ensure that solutions meet client needs and reflect the latest industry trends.Create and conduct engaging training sessions and prepare detailed documentation for AI-enhanced sales tools.Evaluate market feedback to adjust sales tactics and improve AI training datasets.Ensure clear communication between technical and non-technical stakeholders. Required Skills and Qualifications:Bachelor's degree in engineering or a related technical discipline.Proven track record in selling business goods or services that require deep technical know-how.Exceptional written and verbal communication skills.Previous experience in roles like Sales Engineer, Technical Sales Engineer, or a similar customer-focused technical position.Strong analytical skills and problem-solving prowess.Capacity to explain technical information to non-technical audiences.Self-driven, well-organized, and comfortable working independently in a remote setting. Preferred Qualifications:Expertise in AI model training, data labeling, or ML operations.Experience with AI-driven sales tools and platforms.Previous involvement in technical marketing or business development roles. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEWe’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Model Performance team:Baseten Embeddings Inference: The fastest embeddings solution availableThe Baseten Inference StackDriving model performance optimizationRESPONSIBILITIESCore Engineering ResponsibilitiesDesign and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routingWrite and optimize code using CUDA, PTX assembly, and architecture-specific techniquesApply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlapPerformance & InnovationImplement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlapIdentify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch ProfilerCollaborate with research teams to productionize theoretical advancementsImpact & CollaborationContribute to internal and open-source GPU librariesPresent technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)REQUIREMENTS1–5 years of experience in CUDA developmentStrong understanding of GPU architecture and programming paradigms:Memory hierarchy (global, shared, registers, L1/L2 cache)Thread/block/grid organizationSynchronization techniques and race condition mitigationProficient in C++ and GPU performance profiling toolsKnowledge of:CUDA C++ APIMemory access patterns and bandwidth optimizationNumerical precision and quantization strategiesModern GPU features (e.g., tensor cores, async operations)NICE TO HAVEExperience with Transformer models and attention optimization (e.g., Flash Attention)Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUBBackground in GEMM tuning and distributed/multi-GPU computeContributions to open-source GPU projectsResearch publications or conference presentations on GPU performanceBENEFITSCompetitive compensation package (Flexible PTO, 401k, covered healthcare premiums).This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About the Team:OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Data Center Engineering team is at the core of this mission. This team sets the infrastructure strategy, develops cutting-edge engineering solutions, partners with research teams to define the infrastructure performance requirements, and creates reference designs to enable rapid global expansion in collaboration with our partners. As a key member of this team, you will help design and deliver next-generation power, cooling, and hardware solutions for high-density rack deployments in some of the largest data centers in the world. You will work closely with stakeholders across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life.About the Role:We’re seeking a seasoned data center R&D engineer with extensive experience in designing, performing validation testing, commissioning, and operating large-scale power, cooling, and high-performance computing systems. This role focuses on developing and validating new infrastructure and hardware, including high-voltage rectifiers, UPS systems, battery storage, transformers, DC to DC converters, and power supplies. The role will lead the design and buildout of a hardware validation lab, create detailed models and test procedures, and ensure hardware compatibility across edge-case data center operating conditions. Additionally, the role involves working closely with hardware vendors to assess manufacturing test protocols, throughput, and liquid-cooled GPU rack performance. A strong foundation in technical design, operational leadership, and vendor collaboration is critical, with an opportunity to lead high-impact infrastructure programs.You Might Thrive in this Role:Oversee electrical, mechanical, controls, and telemetry design and operations for large-scale data centers, including review of building and MEP drawings across all project phases from concept design to permitting, construction, commissioning and production.Develop, test and implement operational procedures and workflows from design through commissioning and deployment.Perform validation testing of all critical equipment and hardware in partnership with equipment vendors and ODMs.Lead buildout of R&D lab, including equipment selection, test infrastructure for high-density liquid-cooled racks, and staffing plans.Select and manage engineering tools (CAD, CFD, PLM, PDM, electrical, mechanical, power/network management).Collaborate with external vendors to select, procure, and manage critical infrastructure equipment (e.g., UPS, generators, transformers, DC to DC converters, chillers, VFDs).Ensure seamless integration of power, cooling, controls, networking, and construction systems into facility design.Provide technical direction to teams and vendors, ensuring safety, quality, and compliance with local codes, standards and regulations.Manage vendor relationships and ensure adherence to safety, performance, and operational standards.Qualifications:20+ years of experience in data center design, operations, and critical systems maintenance.Proven leadership across design, commissioning, and operation of large-scale data center campuses.Deep expertise in infrastructure systems (power, cooling, controls, networking) and operational workflows.Hands-on experience with critical infrastructure equipment and testing protocols.Strong track record in lab development, equipment selection, and facility operations.Familiarity with engineering tools (CAD, CFD, PLM, etc.) and their integration across teams.Experience navigating regulatory environments and working with government agencies.Excellent cross-functional communication and stakeholder collaboration.Bachelor’s degree in engineering required; advanced degree and PE certification preferred.Preferred Skills:Expertise in equipment design, agency certification, and validation testing.Experience in global, matrixed organizations and multi-site operations.Skilled in vendor negotiations and supply chain management.Familiarity with sustainable and energy-efficient data center design principles.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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This role is remote, so it can be executed globally. However, to facilitate working with the engineering team we strongly prefer candidates based in GMT-4 to GMT+3. We have offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in San Francisco, New York, Dublin, London, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the roleAs a Forward Deployed Engineer Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Strategists to deploy our voice AI technology against the most challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.No two days are the same, but as a FDE Strategist you can expect to:Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.Scope out potential applications in new industries and expand our AI solutions across different sectors globally.Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.RequirementsExperience working with customers in a technical capacity. It's ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them.Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.A proven track record of taking ownership of complex projects and delivering results.Adaptability to work across different customer environments and technical use cases.Technical aptitude to quickly understand our voice and audio AI models and their applications.#LI-Remote

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is remote #LI-Remote  

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About the Role:We’re launching a new venture in Generative AI and are seeking a founder-in-residence to lead it from concept to company. If you're a builder with technical GenAI experience and a track record of building  products from 0 to 1, this is your opportunity to shape a venture at the ground floor. As the Founder-in-Residence, you’ll set the product vision, lead the technical execution, and serve as the face of the company. This role requires a unique mix of deep technical expertise, product intuition, business execution, storytelling, and leadership. Who We Are:AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that co-founds companies alongside entrepreneurs, and we  build companies from inception to market launch. Founded in 2017 by Dr. Andrew Ng, the $370 million-dollar funded venture studio is backed by top-tier VC firms and investors, and brings to bear the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and builders.  Why Partner With AI Fund:We’ve been there. We’ve founded and scaled successful companies ourselves, and we know that creating meaningful startups is really hard. We accelerate the company building process. Coming up with great ideas, turning the idea into a tangible product, assembling great teams, and helping raise capital is what we do. We shorten a process that can take years down to months.  We make sure you are building a compelling product supported by great AI technology,  and are surrounded by great teammates. But we also know that the process is not about us. It’s about great Founders and empowering them to do great things. What We are Looking for:Technical Expertise:Hands-on experience building and deploying GenAI or ML-powered applications (e.g., ones involving components such as LLMs, agentic workflows, reasoning systems, chatbots, evals, etc.) )Full-stack engineering understanding with a grasp of scalable, cloud-native application architecture.Ability to architect and ship complex systems across frontend, backend, and infrastructure.Product & Startup Experience:Proven track record of building 0→1 products.Experience navigating ambiguity, iterating quickly, and building products from scratch.Team Leadership: Experience building, managing, or scaling high-performing teams.Strong leadership presence with the ability to inspire, align, and influence cross-functional teams.Go-to-Market Skills:Strong customer empathy — actively seeks out user feedback and integrates it into product decisions.Understanding of market dynamics and competitive positioning.Comfortable collaborating with sales, marketing, and GTM teams to shape product strategy and messaging Bonus Points For:Experience presenting to investors or participating in capital raises.Deep knowledge or strong familiarity with our target industry (e.g., renewable energy, infrastructure, compliance, etc.).Previous co-founder or founding engineer of VC-backed software company. Characteristics We Value:Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity. Leadership: able to influence others to follow you and lead the team to a brighter future. Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.Ownership orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.

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About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe’re looking for a Research Scientist to lead work on post-training data curation for foundation models. You’ll design and implement algorithms to generate and improve instruction, preference, and other post-training datasets. You’ll also help bridge the gap between pre-training and post-training by exploring how to jointly optimize data across stages. This role requires strong scientific judgment, fluency with the deep learning literature, and a drive to turn research ideas into real-world impact. You’ll work autonomously, collaborate closely with engineers and product teams, and shape the future of data curation at DatologyAI.What You'll Work OnPost-training data curation. You’ll conduct research on how to algorithmically curate post-training data—e.g., how to generate and refine preference and instruction-following data, how to curate capability- and domain-specific data, and make post-training more effective, controllable, and generalizable.Unifying pre-training and post-training data curation. Pushing the bounds on model capabilities requires unifying post-training and pre-training data curation. You will pursue research on end-to-end data curation: how to curate pre-training data to improve the post-trainability of models and how to jointly optimize pre- and post-training data curation, all in service of maximizing the final performance of post-trained models.Transform messy literature into practical improvements. The research literature is vast, rife with ambiguity, and constantly evolving. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from the literature and of your own creation.Conduct science driven by real-world needs. At DatologyAI, we understand that conference reviewers and academic benchmarks don’t always incentivize the most impactful research. Your research will be guided by concrete customer needs and product improvements.How You'll WorkNobody knows how to do your work better than you. We believe that scientists do their best work when they have the autonomy to pursue problems in the manner they prefer, and we will ensure that you are equipped with the context and resources you need to succeed.Science is more than just experiments. We expect our Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.About You3+ years of deep learning research experienceExperience with post-training large vision, language, and multimodal modelsPost-training algorithm development, data curation, and/or synthetic data methods for:Preference-based tuning (e.g. DPO, RLVR, RRHF)Alternative supervision & self-supervision techniques such as self-training and chain-of-thought distillationSFT (e.g. instruction tuning and demonstration fine-tuning)Post-training tooling development and engineering experienceStrong understanding of the fundamentals of deep learningSufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes.Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts.We would love it if candidates have:Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)Experience building + shipping ML productsCandidates do not need a PhD or extensive publications. Some of the best researchers we’ve worked with have no formal training in machine learning, and obtained all of their experience by working in industry and building products. We believe that adaptability, combined with exceptional communication and collaboration skills are the most important ingredients for successful research in a startup environment.CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $260,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

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AI Deployment Engineer (Pre-sales to postales)About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have a 40 person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different – the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer’s org. What You’ll DoPresales partner. Jump on discovery calls, white-board integrations, and explain Bland’s unique features (and ability to drive value) when speaking with product and engineering leaders. You’re working directly with an AE to sell Bland – and to scope an implementation timeline and plan. Own implementation start-to-finish. Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has “Bland tone” and feels human. Coordinate stakeholders. Engineers, product, operations, and anyone else who’s involved with implementation—you’ll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate. You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer’s team to build excitement and demonstrate the progress you’re driving. Expand the footprint. By embedding yourself in the customer’s organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-Have Qualifications3-7 yrs in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production. Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together. Track record of relentless ownership—moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Clear communicator who can translate LLM quirks - and the specifics of how Bland works – to everyone on our customer’s team (at the right level of complexity for your audience). Ready for the intensity of a fast-growing, early-stage startup—the work is hard, the pace is high. This is not a big tech job. You’re joining Bland because you want to push yourself, you’re ambitious, and you care about doing great work. Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture. Nice-to-HavesBuilt side-projects or shipped production features with LLMs. Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering  outcomes and was customer facing. Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you’re flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply. You’ll Thrive Here If…You’re smart, relentless, and love working with customers You’re organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it’s something you enjoy). You care about the craft and about our customers’ customers – all our phone agents should sound truly human and have “Bland tone” – they should not sound like a corporate robot or like a phone tree.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).