Research Engineer / Scientist, Safety Reasoning at OpenAI

San Francisco, California, United States

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$245,000 – $440,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Cybersecurity, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

PythonMachine LearningAI ModerationData LabelingModel TrainingEvaluationRed TeamingMultimodal Analysis

Questions & Answers

Common questions about this position

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

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

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 5+ years of research engineering experience and proficiency in Python or similar languages. Additional strengths include thriving in environments with large-scale AI systems and multimodal datasets, plus excitement about OpenAI’s mission.

What is the team like at OpenAI for this safety reasoning role?

The Safety Reasoning Research team within the Safety Systems team focuses on improving foundational models’ ability to reason about safety, values, and cultural norms, refining moderation models, and addressing societal challenges to ensure safe deployment.

What makes a strong candidate for this position?

Strong candidates have 5+ years of research engineering experience, proficiency in Python, and genuine excitement for OpenAI’s mission of safe AGI. Experience with large-scale AI systems and multimodal datasets is a plus.

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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