Full-Time

Research Engineer / Scientist

Alignment Science

Confirmed live in the last 24 hours

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Enterprise Software
AI & Machine Learning

Compensation Overview

$280k - $690kAnnually

Mid, Senior

H1B Sponsorship Available

Seattle, WA, USA + 2 more

More locations: San Francisco, CA, USA | New York, NY, USA

Remote-friendly with travel required.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI Research
AI & Machine Learning
Required Skills
Kubernetes
Natural Language Processing (NLP)
Requirements
  • 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
  • Have experience authoring research papers in machine learning, NLP, or AI safety (strong candidates may also)
  • Have experience with LLMs (strong candidates may also)
  • Have experience with reinforcement learning (strong candidates may also)
  • Have experience with Kubernetes clusters and complex shared codebases (strong candidates may also)
Responsibilities
  • Build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems
  • Contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems
  • Test the robustness of our safety techniques by training language models to subvert our safety techniques
  • 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

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$11.5B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

64%

1 year growth

313%

2 year growth

1120%
Simplify Jobs

Simplify's Take

What believers are saying

  • Anthropic secured $4 billion funding from Amazon to enhance Claude's capabilities.
  • Claude's coding-related revenue surged 1,000% in the last three months.
  • Collaboration with AWS aims to develop advanced machine learning chips for Claude.

What critics are saying

  • Potential misuse of Claude by Google despite Anthropic's prohibitive terms.
  • Security vulnerabilities like electromagnetic signal theft could compromise Claude.
  • Lack of a web search feature may limit Claude's competitiveness.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude, Anthropic's AI assistant, excels in handling tasks of any scale.
  • Anthropic's expertise spans natural language processing, reinforcement learning, and code generation.

Help us improve and share your feedback! Did you find this helpful?