Lead Research Engineer / Scientist, Chemical & Biological Risk at OpenAI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Safety EngineeringIndustries

Skills

Key technologies and capabilities for this role

Deep LearningTransformer ModelsPyTorchTensorFlowData StructuresAlgorithmsSoftware EngineeringRisk ModelingModel SafetyFull-Stack Mitigation

Questions & Answers

Common questions about this position

What is the salary for this Lead Research Engineer / Scientist role?

The salary is $460K.

Is this position remote or hybrid?

The position is hybrid.

What technical skills are required for this role?

Required skills include demonstrated experience in deep learning and transformer models, proficiency with PyTorch or TensorFlow, strong foundation in data structures, algorithms, and software engineering principles, and familiarity with training and fine-tuning large language models.

What is the team culture like at OpenAI for this role?

The Safety Systems team focuses on AI safety to ensure models are safely deployed, driving OpenAI's mission for safe AGI with a culture of trust, transparency, and responsible AI use.

What qualities make someone thrive in this Lead Research Engineer role?

Candidates thrive with passion for AI safety, decisive leadership in high-stakes environments, experience designing technical safeguards at scale, and ability to collaborate cross-functionally.

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