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senior software engineer applied ai

Okta

<div>Get to know Okta 
 
Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We&rsquo;re building a world where Identity belongs to you.
Okta&rsquo;s Business Technology organization builds secure and intelligent internal platforms that power our global workforce. Our AI &amp; Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals &mdash; all with scale, governance, and user experience in mind.
<h3 class="jobSectionHeader">The Opportunity</h3>

As a Senior Software Engineer, Applied AI, you&rsquo;ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You&rsquo;ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.
<h3 class="jobSectionHeader">What You&rsquo;ll Do</h3>
<ul><li>
Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.
</li>
<li>Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.
</li>
<li>Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.
</li>
<li>Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue &mdash; with a focus on usability, performance, and trust in AI outputs.
</li>
<li>Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily &quot;drop in&quot; GenAI capabilities into their own applications.
</li>
<li>Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).
</li>
<li>Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).
</li>
<li>Ensure security, privacy, observability, and test coverage across the full stack.
</li>
<li>Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.
</li>
<li>Partner with platform and infrastructure teams to ensure services scale reliably across the org.
</li>
</ul><h3 class="jobSectionHeader">What You&rsquo;ll Bring</h3>
<ul><li>
5&ndash;8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.
</li>
<li>Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.
</li>
<li>2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.
</li>
<li>Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.
</li>
<li>Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
</li>
<li>Familiarity with secure coding, authentication/authorization, and internal data governance best practices.
</li>
<li>Ability to collaborate across engineering, design, and product teams &mdash; with a strong sense of user empathy and technical ownership.
</li>
<li>Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.
</li>
</ul><h3 class="jobSectionHeader">Why Join Okta</h3>
<ul><li>
Make AI Real: Design and build AI-powered apps used daily by Okta employees.
</li>
<li>Full-Stack Challenge: Tackle end-to-end problems &mdash; from LLM orchestration to intuitive UIs.
</li>
<li>Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.
</li>
</ul>#LI-MK1

#LI-hybrid

P24739_3355024
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $165,000&mdash;$247,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. 
 
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$147,000&mdash;$221,000 USD
What you can look forward to as a Full-Time Okta employee!
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. 
 
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Senior Software Engineer, Applied AI

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Uber

<div>About the Team
 
 
The Maps Search team powers location search and discovery across Uber's ecosystem - enabling pickup and dropoff location search &amp; recommendations for Rides, Eats and other lines of business. This is a full-stack, high-impact team building cutting-edge ML models for retrieval and ranking, planet-scale distributed systems operating at ultra-low latency, and seamless mobile experiences that define how users discover places and interact with the map. Search is a mission-critical surface that directly impacts conversion, reliability, and consumer growth.
 
 
About the Role
 
 
As the Senior Engineering Manager, you will lead the entire Maps Search organization (~20 engineers and managers across San Francisco and Toronto at present). This exciting role sits at the intersection of ML/AI innovation, distributed systems, and user experience. Your leadership will directly influence business growth and reliability of one of Uber's most critical entry points.
 
 
What You'll Do
<ul><li>Partner deeply with Product, Applied Science, and other teams at Uber to define strategy &amp; drive execution on company-critical initiatives.
</li><li>Set the multi-year technical vision and strategy for Maps search and recommendations across Uber
</li><li>Raise the bar on ML innovation and platform reliability at global scale
</li><li>Build and mentor a strong bench of engineering leaders (EMs &amp; Tech leads).
</li></ul>Basic Qualifications
<ul><li>10+ years of software engineering experience, including significant experience building or leading ML/AI or optimization-driven systems
</li><li>5+ years of engineering management experience, including managing managers or tech leads
</li><li>Experience leading multi-disciplinary teams (backend services + ML/AI required; mobile experience a plus)
</li><li>Track record of leading mission-critical, consumer-facing products or platforms in close partnership with cross-functional stakeholders
</li><li>Demonstrate experience in developing and retaining high-performing engineering teams.
</li></ul>Preferred Qualifications
<ul><li>Experience leading large-scale search, ranking, retrieval, or recommendation systems in production
</li><li>Experience taking search or recommendation products from early prototypes to scaled, consumer-facing platforms
</li><li>Demonstrated ability to influence product and business strategy beyond immediate organizational scope
</li><li>Experience leading multi-geography engineering organizations
</li>Strong track record of hiring, mentoring, and developing senior engineering leaders (EMs, Staff+ engineers) 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr Engineering Manager, Maps Search

Mechanize

Mechanize builds RL environments that teach AI models to perform real-world work. Our goal is to enable the full automation of the economy. We sell to the leading AI labs. Learn more at mechanize.work.Software engineers at Mechanize create RL environments to sell to the leading AI labs. You might be a good fit if you are about to graduate university, or have 0-2 years of experience as a software engineer and can code in python.No prior machine learning or AI experience is required.Read about how our interview process works here: https://www.mechanize.work/how-our-interview-process-works/Job Type: Full-timePay: $300,000.00 per yearWork Location: In person

Junior Software Engineer

Flow Engineering

<div>
 
 About Flow
 
 
 
 Flow Engineering is an AI- native requirements platform that makes complex engineering work clear, collaborative, and verifiable. We&rsquo;re reimagining how complex hardware is built by pairing world-class engineers with AI agents to design, iterate, and ship faster than ever before.
 
 
 
 About The Role
 
 
 
 Flow is hiring a Frontend Software Engineer to own core user experiences in Flow and bring AI-powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast.
 
 
 You will help define how &ldquo;agentic systems engineers&rdquo; and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own major user-facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI-assisted workflows.
 </li>
 <li>
 Implement high-quality, accessible UI using a modern frontend framework and component system.
 </li>
 <li>
 Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers.
 </li>
 <li>
 Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows.
 </li>
 <li>
 Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 3+ years of experience building rich, data-heavy web applications with a modern frontend framework.
 </li>
 <li>
 Strong experience with React (or similar) and TypeScript, including component design, state management, and testing.
 </li>
 <li>
 A product mindset: you think in terms of user journeys, edge cases, and clarity, not just individual screens.
 </li>
 <li>
 Comfortable collaborating closely with design and product, and giving and receiving feedback through iterations.
 </li>
 <li>
 Willingness to occasionally work across the stack (e.g., refining APIs, wiring up integrations) to ship features end-to-end.
 
 
 </li>
 </ul>
 
 Our stack (frontend-leaning)
 
 
 
 <ul>
 <li>
 React and TypeScript as the primary frontend stack.
 </li>
 <li>
 Tailwind or a similar utility-first or component-driven styling approach.
 </li>
 <li>
 Integration with backend APIs and AI services built in TypeScript/Node.js.
 
 
 </li>
 </ul>
 
 How We Work &amp; Values
 
 
 
 <ul>
 <li>
 Speed over everything: ship Flow v3 in slices, not in one big bang.
 </li>
 <li>
 Own, downscope, ship, iterate: you&rsquo;ll own features from idea to shipped UI.
 </li>
 <li>
 Maximum effort, maximum fun: high energy, high ownership, and a team you want to build with.
 </li>
 <li>
 Competitive salary and meaningful equity.
 </li>
 <li>
 Health, dental, and vision coverage.
 </li>
 <li>
 Flexible time off and support for learning, conferences, and great tools.
 
 
 </li>
 </ul>
 Compensation Range: $190K - $280K
 
 
</div>

Software Engineer, Frontend (UI) – San Francisco

OpenAI

Careers
 
Data Scientist, Marketing Innovation
 
Data Science - San Francisco
 
About the Role
 
We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.
 
We build product-like systems that: 
Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences
 
Adapt messaging, creative, and outreach using real-time behavioral signals
 
Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop
 
In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.
 
What You’ll Do
 
Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
 
Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
 
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
 
Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
 
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
 
What We’re Looking For
 
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
 
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
 
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
 
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
 
Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
 
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
 
Nice to Have
 
Familiarity with large language models and AI-assisted operations platforms
 
Experience working on operational automation and decision systems (routing, prioritization, optimization)
 
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
 
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
 
$293K – $325K + Offers Equity

Data Scientist, Marketing Innovation

About the team
 
The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.
 
The Preparedness team is an important part of the
 
Safety Systems
 
org at OpenAI, and is guided by OpenAI’s
 
Preparedness Framework
 
.
 
Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.
 
The mission of the Preparedness team is to: 
Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophic
 
Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems
 
Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.
 
About the role
 
This role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously discover failure modes in our models and mitigations — and translate those findings into actionable, production-facing improvements. The goal is to maximize counterfactual reduction in expected harm by finding the highest-leverage, least-covered weaknesses early and reliably.
 
In this role you will
 
You will own the research and technical direction for automated red teaming across catastrophic risk areas, with an initial emphasis on:
 
Automated classifier jailbreak discovery (cyber and bio)
 
Automated bio threat-development elicitation (worst-feasible planning uplift)
 
CoT monitoring evasion probing (and adjacent loss-of-control evaluations)
 
You will partner tightly with: 
Vertical risk teams (Cyber, Bio, Loss of Control) to define threat models, prioritize targets, and land mitigations
 
The Classifiers team to turn discovered attacks into training data, evals, and measurable robustness gains
 
Product / eng / safety stakeholders to ensure ART outputs are operationally useful (not just interesting)
 
You might thrive in this role if you: 
Feel a strong pull toward AI safety, and you’re motivated by reducing real-world catastrophic risk (not just publishing cool results).
 
Love breaking systems (responsibly) — you get energy from finding weird, high-severity failure modes and turning them into concrete fixes.
 
Have strong applied research instincts, especially around evaluations: you’re good at designing experiments that are reproducible, interpretable, and hard to fool.
 
Bring hands-on experience with LLMs and agents, including multi-turn behaviors, tool use, and the ways models adapt to constraints.
 
Are comfortable building scalable automation, not just prototypes — you can turn red-teaming ideas into pipelines that run continuously and produce high-signal outputs.
 
Have solid software engineering fundamentals (data structures, algorithms, testing discipline) and you can work effectively in a production-adjacent environment.
 
Think in threat models and incentives, and you naturally ask “what would an attacker do next?” or “how would this fail under pressure?”
 
Can translate messy findings into action, communicating clearly with researchers, engineers, product, and policy — and driving alignment on what to fix first.
 
Care about efficiency and prioritization, and you’re happy to say “no” to low-leverage work to focus on what moves the risk needle.
 
(Nice to have) Experience in adversarial ML, security research / red teaming, abuse prevention systems, or large-scale eval infrastructure.
 
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
 
$295K – $445K

Researcher, Automated Red Teaming

Explore 103+ Senior software engineer applied ai in San Francisco this February. Find roles across top companies and apply now to boost your career.