Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Algorithms @ 3
Machine Learning @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI.
Role overview
As a Research Scientist you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while collaborating with peers across the organization. The role emphasizes discovering simple, generalizable ideas that scale and form part of a broader research vision.
Responsibilities
- Develop innovative machine learning techniques and advance team research agendas.
- Choose impactful research problems and autonomously carry out long-running projects.
- Collaborate with peers across the organization to integrate and extend research.
- Produce research outputs that may include first-author publications or projects demonstrating new or improved ideas.
Requirements
- Demonstrated track record of proposing new ideas or improving existing ideas in machine learning (examples: first-author publications or projects).
- Ability to own and pursue a research agenda, including selecting impactful problems and independently executing multi-stage projects.
- Alignment with and enthusiasm for OpenAI's approach to research.
Nice to have
- Interest in and thoughtful consideration of the societal impacts of AI technology.
- Past experience creating high-performance implementations of deep learning algorithms.
Compensation & Benefits
- Base salary range: $295,000 - $440,000 (offers equity). Total compensation may include equity and performance-related bonuses; base pay varies by market, skills, and experience.
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts: Health FSA, Dependent Care FSA, commuter accounts.
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), paid medical and caregiver leave (up to 8 weeks).
- Paid time off: flexible PTO for exempt employees; up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and multiple coordinated office closures; paid sick or safe time as required by law.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional fringe benefits (charitable donation matching, wellness stipends) may be provided.
Additional notes
- Background checks are administered in accordance with applicable law. OpenAI is an equal opportunity employer and is committed to reasonable accommodations for applicants with disabilities.
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