OpenAI

Research Engineer/Research Scientist, RL

San Francisco, California, United States

Not SpecifiedCompensation
Junior (1 to 2 years), Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, ResearchIndustries

Requirements

Candidates should possess a PhD in Computer Science, Robotics, or a related field with a strong focus on reinforcement learning, or a Master's degree with significant research experience in RL. They should have experience with deep reinforcement learning, particularly in areas such as model-based RL, offline RL, or hierarchical RL. Strong programming skills in Python are essential, along with familiarity with deep learning frameworks like TensorFlow or PyTorch. A solid understanding of machine learning principles and experience with large-scale ML codebases is also required.

Responsibilities

As a Research Engineer/Research Scientist, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods, contributing to the training of intelligent and aligned agents. You will iterate quickly on ideas, drive them to completion, and value principled approaches and simple experiments. You will dive into a large ML codebase to debug and improve it, and conduct research to develop new RL techniques. Additionally, you will advise management on HR-related risk mitigation strategies and monitor and interpret changes in employment legislation.

Skills

Reinforcement Learning
Deep Reinforcement Learning
Model-Based RL
Offline RL
Hierarchical RL
Python
TensorFlow
PyTorch
Machine Learning
Large-Scale ML Codebases

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.

Key Metrics

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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