Research Engineer / Research Scientist, Post-Training at OpenAI

San Francisco, California, United States

OpenAI Logo
$295,000 – $530,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Skills

Key technologies and capabilities for this role

Machine LearningReinforcement LearningML EngineeringModel EvaluationPythonResearchDebugging

Questions & Answers

Common questions about this position

What is the salary range for this Research Engineer / Scientist role?

The salary range is $295K - $530K.

Is this role remote or based in an office?

This role is based in San Francisco, CA, with a hybrid work model requiring 3 days in the office per week. OpenAI offers relocation assistance to new employees.

What skills are required for this position?

Candidates need strong ML engineering skills, research experience with novel models, deep understanding of machine learning, knowledge of relevant models and evaluations, and comfort debugging large ML codebases.

What is the Post-Training team like at OpenAI?

The Post-Training team trains and improves pre-trained models for deployment into ChatGPT, the API, and future products, partnering closely with research and product teams to ensure models are safe, efficient, and reliable for millions of users.

What makes a strong candidate for this role?

Ideal candidates have strong ML engineering skills, research experience with novel models, passion for product-driven research, and thrive in dynamic, technically complex environments.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health insurance
Dental and vision insurance
Flexible spending account for healthcare and dependent care
Mental healthcare service
Fertility treatment coverage
401(k) with generous matching
20-week paid parental leave
Life insurance (complimentary)
AD&D insurance (complimentary)
Short-term/long-term disability insurance (complimentary)
Optional buy-up life insurance
Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
Annual learning & development stipend
Regular team happy hours and outings
Daily catered lunch and dinner
Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.
Customizable ChatGPT personas could lead to privacy and ethical concerns.
Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.
OpenAI's AI models, like Sora, offer unique video creation from text descriptions.
OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.
Customizable ChatGPT personas enhance user engagement and satisfaction.
OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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