Research Engineer / Scientist, Interpretability at OpenAI

San Francisco, California, United States

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$245,000 – $440,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Excited about OpenAI’s mission of ensuring AGI benefits all of humanity and aligned with OpenAI’s charter
Enthusiasm for long-term AI safety and deep thought about technical paths to safe AGI
Experience in AI safety, mechanistic interpretability, or related disciplines
Ph.D. or research experience in computer science, machine learning, or related field
Thrive in environments with large-scale AI systems and excited to use OpenAI’s resources
2+ years of research engineering experience and proficiency in Python or similar languages
Deeply curious

Responsibilities

Develop and publish research on techniques for understanding representations of deep networks
Engineer infrastructure for studying model internals at scale
Collaborate across teams on projects that OpenAI is uniquely suited to pursue
Guide research directions toward demonstrable usefulness and/or long-term scalability
Develop and carry out a research plan in mechanistic interpretability in close collaboration with the team

Skills

Key technologies and capabilities for this role

Mechanistic InterpretabilityPyTorchDeep LearningMachine LearningAI SafetyResearch EngineeringInfrastructure EngineeringQuantitative ReasoningLarge-Scale AI Systems

Questions & Answers

Common questions about this position

What is the salary range for this position?

The salary range is $245K - $440K.

Is this role remote or hybrid?

The position is hybrid.

What skills and experience are required for this role?

Candidates need a Ph.D. or research experience in computer science, machine learning, or related fields, 2+ years of research engineering experience, proficiency in Python or similar languages, and background in AI safety or mechanistic interpretability.

What is the culture like on the Interpretability team?

The team has a collaborative and curiosity-driven working style, focused on studying internal representations of deep learning models to understand behavior and ensure AI safety.

What makes a strong candidate for this role?

Strong candidates are excited about OpenAI’s mission for safe AGI, have deep experience in AI safety or mechanistic interpretability, hold a Ph.D. or equivalent research background, and thrive in collaborative environments with large-scale AI systems.

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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