OpenAI

Research Engineer / Research Scientist, Alignment

San Francisco, California, United States

$295,000 – $440,000Compensation
Mid-level (3 to 4 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cybersecurity, Data & AnalyticsIndustries

Requirements

Candidates should possess a PhD or equivalent experience in computer science, computational science, data science, cognitive science, or similar fields. Strong engineering skills, particularly in designing and optimizing large-scale machine learning systems, especially with frameworks like PyTorch, are essential. A deep understanding of alignment algorithms and techniques is required, along with the ability to develop data visualization or data collection interfaces using TypeScript or Python. Candidates should thrive in fast-paced, collaborative research environments and have a commitment to developing trustworthy and reliable AI models for high-stakes scenarios.

Responsibilities

The Research Engineer / Research Scientist will develop and evaluate alignment capabilities that are subjective and context-dependent. They will design evaluations to measure risks and alignment with human intent, build tools to study model robustness, and conduct experiments to understand how alignment scales with various factors. Additionally, they will design and evaluate new Human-AI interaction paradigms and scalable oversight methods, train models to be calibrated on correctness and risk, and create novel approaches for using AI in alignment research.

Skills

Experiment Design
System Design
Data Science
Computer Science
Computational Science
Alignment
Risk Assessment
Model Robustness

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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