Research Engineer, Pre-training

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, BiotechnologyIndustries

Requirements

Candidates should possess an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field. Strong software engineering skills with a proven track record of building complex systems are essential, along with expertise in Python and deep learning frameworks like PyTorch. Familiarity with large-scale machine learning, particularly language models, and the ability to balance research with engineering constraints are required. Excellent problem-solving, communication, and collaboration skills are also necessary, as is a care for the societal impacts of AI work. Preferred experience includes working on high-performance, large-scale ML systems, familiarity with GPUs, Kubernetes, OS internals, transformer architectures, reinforcement learning, and large-scale ETL processes.

Responsibilities

The Research Engineer will conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development. They will lead small research projects independently and collaborate on larger initiatives, designing, running, and analyzing scientific experiments to advance understanding of large language models. Responsibilities also include optimizing and scaling training infrastructure for efficiency and reliability, developing and improving dev tooling for team productivity, and contributing to the entire technology stack from low-level optimizations to high-level model design.

Skills

Python

PyTorch

Deep Learning

Large Language Models

Machine Learning

Software Engineering

Algorithm Development

Data Processing

Optimizer Development

Model Architecture

Scientific Experimentation

Problem-Solving

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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