Research Engineer, Model Performance & Quality at Anthropic

Seattle, Washington, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Proficient in Python and have experience building production ML systems
Have experience with training, evaluating, or monitoring large language models
At least a Bachelor's degree in a related field or equivalent experience
Ability to be in one of the offices at least 25% of the time (location-based hybrid policy)

Responsibilities

Build comprehensive training observability systems - Design and implement monitoring infrastructure to track model behaviors during training
Develop next-generation evaluation frameworks - Create evaluations beyond traditional benchmarks to capture real-world utility
Create automated quality assessment pipelines - Build custom classifiers to monitor RL transcripts for complex issues
Bridge research and production - Partner with research teams to translate evaluation techniques into production systems and work with engineering teams to scale monitoring infrastructure

Skills

Python

Machine Learning

Large Language Models

Model Training

Model Evaluation

Monitoring Systems

Distributed Systems

Evaluation Frameworks

Classifiers

RL Transcripts

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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