data scientist

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai research scientist Jobs in San Francisco

ai research scientist

artificial intelligence specialist

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 Untangling the science of Data &amp; Evaluations for Frontier AI
 
 
 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
 </li>
 <li>
 Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
 </li>
 <li>
 Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
 </li>
 <li>
 Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 Based in San Francisco, and excited to work in the office.
 </li>
 <li>
 Ph.D. in ML/AI, data science, or related fields.
 </li>
 <li>
 Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
 </li>
 <li>
 Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $320K - $365K
 
 
</div>

AI Research Scientist

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
 
 
 Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
 
 
 We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 Founder&rsquo;s Office is where the hardest problems land, and we help solve them for the entire business. We are a small team of former founders, operators, and investors embedded directly with leadership, taking on work of any kind, no matter how different or unique, to improve business operations. Strategy, corporate development, pricing, special projects, and analytics are a few examples. We are analytical and critical cross-functional thinkers from a diverse set of multidisciplinary backgrounds. If it is ambiguous, urgent, or high-stakes, we are probably already thinking about it.
 
 
 
 About The Role
 
 
 
 We are looking for someone to help us accelerate using AI across
 
 every
 
 facet of the company. You are AI-pilled and will not stop until everyone else at the company is too.
 
 
 You wear many different hats: vibe coder, strategist, data analyst, product manager, operations. We believe in building together, quickly.
 
 
 This is a fully in-office role based in our San Francisco office 5 days a week.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Build AI automation agents to make us efficient: design and deploy agents that translate company strategy and operational processes, into automated workflows, custom internal tools, and programmatic systems. Specifically: help automate manual sales processes, embed AI into growth marketing engines, maximize Claude skills in the post-sales org, and more. Unlock hundreds of Decagon teammates with their &ldquo;aha&rdquo; moment of your product.
 </li>
 <li>
 Build out intelligent solutions to make us more effective: build out an account mapping platform that helps sales and marketing identify the best individuals to target and break into accounts with. Leverage scrapers, search APIs, workflow automation tools, and LLMs to do this effectively, and efficiently.
 </li>
 <li>
 Be the AI Culture Driver: build an AI-native culture for the entire business, by identifying and enabling internal &ldquo;AI champions,&rdquo; and builders. Programmatically define templates and best practices into team norms. Turn them into people who can&rsquo;t live without the automation and will be very unhappy if it is taken away.
 </li>
 <li>
 Build out AI analytics: measure success by going deep into data, specifically around number of hours saved, and additional work delivered as a result of our efficiency and effectiveness gains. Become customer obsessed - customers being our internal stakeholders - and measure their happiness using our tools.
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Experience: 1-3 years in a high growth technical environment. Roles that are inherently self-starters, entrepreneurial, or technical are also great fits, looking to make the switch into this new and emerging critical function for all companies.
 </li>
 <li>
 AI prompting foundations: some experience in some form with AI enablement, AI operations, or AI engineering roles. You are generally comfortable prompting your way to solutions, and sometimes needing to get into code / working with APIs, etc.
 </li>
 <li>
 Builder DNA: you are a curious learner and builder, skilled with new AI tools like Claude Code, Cursor, Notion AI, automation tools like Dust, Gumloop, n8n, Zapier, GTM enrichments like Clay and Unify, and search APIs like Exa, Parallel, Browserbase. Some familiarity with SQL, BI, managing data lakehouses, and scraping and scripting from DS notebooks, is a plus.
 </li>
 <li>
 Get it done mentality: a bias toward action and building "v1 MVP" today. You thrive in the ambiguity of a fast-paced AI startup.
 </li>
 <li>
 Strong communications: you can produce clear, concise presentation of information, and influence teams to use your products. You run training sessions that drive impact through leadership and communications, in every gap you find.
 </li>
 <li>
 Ability to manage cross-functional teams: able to work hands-on in workflows across Sales, Post-Sales, Finance, People/HR, Ops, BizOps, Marketing, EPD, and more. It&rsquo;s OK if you haven&rsquo;t done it before.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $150,000 - $215,000 + Equity
 
 
 
 Benefits
 
 
 
 We proudly offer the following benefits for our full-time employees:
 
 
 <ul>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Medical, Dental, and Vision benefits for you and your family
 </li>
 <li>
 Life Insurance and Disability Benefits
 </li>
 <li>
 Retirement Plan (e.g., 401K, pension)
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Fertility and family building benefits through Carrot
 </li>
 <li>
 Daily lunches and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
 
</div>

AI Transformation Specialist

Hex Technologies

SF or NYC
 
About the role: 
Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers.
 
What you will do: 
Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities
 Define and implement the future of the AI Engineering function at Hex as we scale
 Hire and mentor an exceptional team of AI Engineers
 Support an exceptional developer and research experience for teams working with AI technology
 Deliver high-performing shared AI infrastructure, including search systems
 
About You: 
You have 4+ years of people management experience and leading high-performing teams
 You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals.
 You are obsessed with driving business outcomes and delivering value to customers
 You are rigorous but pragmatic, balancing good experimental design with early-stage agility
 You are a strong communicator and love collaborating with other roles and teams to drive outcomes
 You are a talent magnet, with the ability to attract and retain exceptional AI talent
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $246,000 - $329,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Engineering Lead

Prolific

<div>
 AI Training Experts
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for AI Training Experts to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay upto of $25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 
 
 
 What you'll bring
 
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as an AI Trainer
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations
 </li>
 <li>
 Judging the performance of AI in performing
 </li>
 <li>
 Improving cutting-edge AI models
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 
 Privacy Statement
 
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training Experts - San Fran

OpenAI

<div>
 
 About The Team
 
 
 
 The 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 Role
 
 
 
 As 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&rsquo;ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.
 
 
 We&rsquo;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
 
 
 
 <ul>
 <li>
 Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.
 </li>
 <li>
 Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.
 </li>
 <li>
 Improve performance, resilience, and scalability of core services that power customer-facing applications.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).
 </li>
 <li>
 Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.
 </li>
 <li>
 Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.
 </li>
 <li>
 Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI 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&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At 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.
 
 
 Compensation Range: $230K - $385K
</div>

Software Engineer, Core Services

About the Team
 
Security is foundational to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. As OpenAI builds and operates increasingly powerful systems, security helps make that progress durable, trustworthy, and resilient.
 
The Security team protects OpenAI’s technology, people, and products, but our role goes beyond defense alone. We help enable the infrastructure, research, and product work that powers frontier AI, bringing deep technical judgment and hands-on operational execution to some of the most important systems being built today. Our work is grounded in impact, pragmatism, and preparing for the security challenges that come with increasingly capable technology.
 
About the Role
 
We are seeking an experienced and highly technical Data Center Security Engineer to help secure the infrastructure behind OpenAI’s rapidly expanding data center footprint. This is a chance to work on high-consequence systems at the intersection of cybersecurity, critical infrastructure, and advanced AI, where strong technical judgment and careful execution have direct, lasting impact.
 
In this role, you will operate with substantial agency and ownership alongside a small team of data center security experts, driving security architecture, control validation, and defensive improvements across multiple, diverse environments, with particular emphasis on IT, Enterprise, ICS and Operational Technology (OT) networking. You will help define and raise the security bar for infrastructure programs already in flight while shaping how future deployments are secured from the start.
 
This role's preferred location is one of our OpenAI offices in San Francisco, Seattle, or New York City and relocation assistance is available. We are also open to considering candidates who are remote.
 
In this role, you will: 
Design and implement security controls that protect data center infrastructure across a growing global footprint, with particular focus on both OT and IT networking environments.
 
Partner closely with a small team of data center security specialists, as well as engineering, operations, and broader security teams, to deliver resilient and practical security outcomes.
 
Secure OT and IT networking environments through strong segmentation, access control, monitoring, hardening, and connectivity patterns suited to critical infrastructure.
 
Contribute to security architecture and design reviews for data center systems, including OT and IT networking, network segmentation, identity and access management, provisioning workflows, hardware and firmware trust boundaries, and operational safeguards.
 
Perform recurring audits, control assessments, and validation activities across OT and IT networking environments to ensure continued compliance against defined controls.
 
Drive ongoing evidence collection, gap tracking, and remediation follow-through so control deficiencies are identified quickly and closed durably.
 
Help define measurable security standards, control objectives, audit procedures, evidence requirements, and validation mechanisms for infrastructure and facility security programs.
 
Support security monitoring, incident response, and post-incident improvement efforts for data center, OT, and IT networking environments.
 
Work with suppliers, partners, and internal stakeholders to evaluate and reduce risks associated with third-party hardware, firmware, software, and operational dependencies.
 
Continually evolve the security of our data centers alongside changes in adversary activity, infrastructure complexity, and the increasing demands of OpenAI’s systems.
 
You might thrive in this role if you have: 
15+ years of experience in security, including meaningful hands-on experience securing large-scale infrastructure, industrial environments, or data center systems.
 
Deep expertise securing OT and IT networking environments in critical infrastructure settings, including segmentation strategies, remote access controls, asset visibility, and compensating controls for operational constraints.
 
Experience building audit or assurance programs that validate ongoing compliance with defined security controls, especially across OT and IT networking environments, rather than relying on one-time point-in-time reviews.
 
Strong cross-functional collaboration skills including the ability to partner effectively with internal and external stakeholders while operating with a high degree of autonomy.
 
Strong knowledge of security engineering and operations across network security, IAM and PAM, hardening, provisioning, monitoring, incident response, and secure lifecycle practices.
 
Experience protecting hyperscale, colocation, or hybrid infrastructure environments against sophisticated adversaries.
 
Familiarity with control and governance frameworks such as NIST, ISO 27001, or SOC 2, and the ability to translate them into concrete technical and operational requirements.
 
The ability to operate as a high-ownership individual contributor who influences through technical judgment, collaboration, and execution.
 
Clear written and verbal communication skills, including the ability to explain risk, controls, and tradeoffs to both technical and non-technical partners.
 
About OpenAI
 
OpenAI 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
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At 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.
 
Compensation
 
$234.4K – $385K + Offers Equity • Multiple Ranges

Data Center Security Engineer

Explore 50+ Artificial intelligence specialist in San Francisco this April. Find roles across top companies and apply now to boost your career.