By applying to this role, you will be considered for Research Engineer roles across all teams at OpenAI.

About the Role

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

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, and requests can be made via this link.

The Mission Critical Services team focuses on rapid incident response, solutions, and customer-centric supportability to helps avoid issues, and improve the resiliency of customer mission-critical environments deployed on Google Cloud Platform (GCP). In this role, you will be a part of a global team that provides support to customer workloads deployed on Google Cloud. You will provide rapid-response support to customers owning end-to-end incident management to mitigate or resolve their issues, and drive improvements to improve workload reliability for the customers. You will troubleshoot and mitigate technical problems for customers by using debugging, networking, system administration, documentation updates, and coding/scripting. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.About the job

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering or equivalent practical experience.
• 6 years of experience with troubleshooting for customera needs, triaging technical issues, or software development.
• Experience in creating content for technical audiences (e.g., developer documentation, industry white papers, Computer Science course material, or IT administration playbooks).
• Experience with debugging and coding in Java, C, C++, Python, Go, or JavaScript.
• Experience in working with distributed systems, with common solutions or design patterns.
• Experience with web technologies (e.g., Hypertext Transfer Protocol (HTTP), HTML, Domain Name System (DNS), Transmission Control Protocol (TCP), etc).

Preferred qualifications:

• Experience with crisis response and escalation management across multiple teams, including leading incident response for customer issues.
• Experience as a system/network administrator in working with Linux/Unix operating systems, from Kernel to Shell, file systems, and client-server protocols.
• Experience with system virtualization, on-premise, or hybrid cloud computing environments.
• Experience in developing developer tools for operations (e.g., automation, testing, and debugging).
• Experience with public cloud (e.g., Google Cloud Platform) services and debugging workload issues across multi-node environments.
• Ability to communicate in Japanese fluently to communicate with local customers.

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

The Mission Critical Services team focuses on rapid incident response, solutions, and customer-centric supportability to helps avoid issues, and improve the resiliency of customer mission-critical environments deployed on Google Cloud Platform (GCP).

In this role, you will be a part of a global team that provides support to customer workloads deployed on Google Cloud. You will provide rapid-response support to customers owning end-to-end incident management to mitigate or resolve their issues, and drive improvements to improve workload reliability for the customers. You will troubleshoot and mitigate technical problems for customers by using debugging, networking, system administration, documentation updates, and coding/scripting.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.About the job

Responsibilities

• Resolve customer production deployment issues, ensuring product readiness and availability. Triage and manage technical escalations including platform outages and executive concerns.
• Develop expertise in Google Cloud architecture by troubleshooting, reproducing, and determining the root cause for customer-reported issues, and by building diagnostic tools.
• Act as a subject matter expert for internal stakeholders (e.g., Engineering, Business, Product) to resolve technical deployment obstacles and advocate for customer needs to drive product improvement.
• Work as a part of a global team of developers/consultants providing customer support. Work on non-standard shifts and occasional weekend work.
• Understand customer issues, advocate for their needs with internal teams including Product and Engineering teams to find ways to improve the product and drive production efficiency.

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale.

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Experience with prompt engineering and optimization
• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
  Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
  Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
  Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
  Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
  Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).
  Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
  
• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
• Experience with big-data engines like Spark.
• Compiler development for languages like SQL, Python, or Scala.
• Optimization of ML models for low-latency, high-throughput production use.
• Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
• Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
• Skill in evaluating tech and driving build/buy decisions

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week.

Experience: 3+ years in industry

Compensation:  $250,000–$350,000