Research Engineer / Scientist, Anthropic

Alignment Science

$280-690k

Kubernetes
Mid and Senior level
New York
San Francisco Bay Area

More information about location

Anthropic

AI safety and research company

Be an early applicant

Anthropic

AI safety and research company

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Be an early applicant

$280-690k

Kubernetes
Mid and Senior level
New York
San Francisco Bay Area

More information about location

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Company mission

To create reliable, interpretable, and steerable AI systems.

Role

Who you are

  • You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems
  • You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities
  • You could describe yourself as both a scientist and an engineer
  • Have significant software, ML, or research engineering experience
  • Have some experience contributing to empirical AI research projects
  • Have some familiarity with technical AI safety research
  • Prefer fast-moving collaborative projects to extensive solo efforts
  • Pick up slack, even if it goes outside your job description
  • Care about the impacts of AI
  • Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

  • Have experience authoring research papers in machine learning, NLP, or AI safety
  • Have experience with LLMs
  • Have experience with reinforcement learning
  • Have experience with Kubernetes clusters and complex shared codebases

What the job involves

  • As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team
  • Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include..
  • Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains
  • AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios
  • Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise
  • Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research
  • Representative projects:
  • Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions
  • Run multi-agent reinforcement learning experiments to test out techniques like AI Debate
  • Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks
  • Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts
  • Contribute ideas, figures, and writing to research papers, blog posts, and talks
  • Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy

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Insights

Top investors

190% employee growth in 12 months

Glassdoor (4.3)

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Trustpilot (1.7)

Company

Company benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • Generous subsidy for OneMedical
  • 21 weeks of paid parental leave
  • Unlimited PTO
  • Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant
  • 401(k) plan with 4% matching
  • $500/month flexible wellness stipend
  • Commuter coverage
  • Annual education stipend
  • A home office improvement stipend when you first join
  • Relocation support for those moving to the Bay Area

Funding (last 2 of 12 rounds)

Mar 2025

$3.5bn

SERIES E

Jan 2025

$1bn

GROWTH EQUITY VC

Total funding: $16.3bn

Our take

Funded by Google and founded by ex-OpenAI employees, Anthropic is an AI company focused on building a reliable, innovative AI system. While the company is relatively new to the market it has already launched a highly anticipated AI chat assistant called Claude which is set to rival OpenAI's ChatGPT.

Similar to other chatbots, Claude is accessible through a chat interface and can provide a number of conversation and text-processing tasks. A key point of differentiation is that Claude is designed to produce less harmful outputs than that of the other chatbots that came before it.

While there is much praise for the chat assistant, there is still room for improvement with feedback reporting that Claude is worse at maths and grammar compared to its rival. However, with industry giants like Google backing this company from an early stage, it is clear Anthropic has the potential to become a leading player within the AI industry.

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Freddie

Company Specialist at Welcome to the Jungle