OpenAI

Research Engineer / Scientist, Safety Reasoning

San Francisco, California, United States

$245,000 – $440,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cybersecurity, Data & AnalyticsIndustries

Requirements

Candidates should possess over 5 years of research engineering experience and be proficient in Python or similar programming languages. Experience with large-scale AI systems and multimodal datasets is a plus, along with expertise in AI safety topics such as RLHF, adversarial training, robustness, fairness, and biases. A strong enthusiasm for AI safety and a commitment to enhancing the safety of advanced AI models for real-world applications are essential.

Responsibilities

The Research Engineer/Scientist will conduct applied research to improve foundational models' reasoning capabilities regarding human values, ethics, and cultural norms. They will develop and refine AI moderation models to detect and mitigate AI misuse, collaborate with policy researchers to iterate on content policies, contribute to multimodal content analysis research, and enhance pipelines for automated data labeling and model training. Additionally, they will experiment with and design a red-teaming pipeline to assess the robustness of harm prevention systems.

Skills

Python
Machine Learning
AI Moderation
Data Labeling
Model Training
Evaluation
Red Teaming
Multimodal Analysis

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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