Research Engineer, Interpretability at Anthropic

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should possess a Master's degree in a quantitative field such as Computer Science, Statistics, or a related discipline, and demonstrate a strong understanding of machine learning principles, particularly in the area of large language models. Experience with neural networks, deep learning, and interpretability techniques is highly desirable, along with familiarity with tools and frameworks commonly used in research, such as PyTorch or TensorFlow.

Responsibilities

The Research Engineer will implement and analyze research experiments, both quickly in toy scenarios and at scale in large models, set up and optimize research workflows to run efficiently and reliably at large scale, and build tools and abstractions to support the rapid pace of research. They will also collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts, to use their work to make Anthropic’s models safer.

Skills

Interpretability

Mechanistic Interpretability

Neural Networks

Reverse Engineering

Sparse Autoencoders (SAEs)

GPU Optimization

Feature Visualization

Programming

Research

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

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.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$11,482.1MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.

Technological lag behind competitors like OpenAI may impact market position.

Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.

Claude, Anthropic's AI assistant, is designed for tasks of any scale.

Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.

Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.

Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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