Anthropic

1 month ago

Research Engineer, Domain Scaling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join the Domain Scaling team to advance Claude in real-world knowledge work across domains like finance, healthcare, and legal. Own end-to-end data strategy and RL environment creation, manage external data vendors, collaborate with domain experts, and push novel RL setups while maintaining QA and measuring model impact.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training.
•Manage technical relationships with external data vendors, including evaluation of data quality and reward design.
•Collaborate with domain experts to design data pipelines and evaluations.
•Explore novel ways of creating RL envs for high value tasks.
•Develop and improve QA frameworks to catch reward hacking and ensure env quality.

Key Requirements

•Have experience with fine-tuning large language models for specific domains or real-world use cases.
•Have experience with reinforcement learning, reward design, or training data curation for LLMs.
•Are comfortable managing technical vendor relationships and iterating quickly on feedback.
•Find value in reading through datasets to understand them and spot issues.
•Have strong cross-functional collaboration skills.

Experience:AIMLLLMsResearch

Education:Bachelor's

Skills:Cross-functional collaborationCommunicationProblem-solving

Languages:English

Tech Stack:Reinforcement learningMachine learningData pipelines

Eligibility

Visa:Visa Sponsorship

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

1 month ago

Research Engineer, Domain Scaling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training.
•Manage technical relationships with external data vendors, including evaluation of data quality and reward design.
•Collaborate with domain experts to design data pipelines and evaluations.
•Explore novel ways of creating RL envs for high value tasks.
•Develop and improve QA frameworks to catch reward hacking and ensure env quality.

Key Requirements

•Have experience with fine-tuning large language models for specific domains or real-world use cases.
•Have experience with reinforcement learning, reward design, or training data curation for LLMs.
•Are comfortable managing technical vendor relationships and iterating quickly on feedback.
•Find value in reading through datasets to understand them and spot issues.
•Have strong cross-functional collaboration skills.

Experience:AIMLLLMsResearch

Education:Bachelor's

Skills:Cross-functional collaborationCommunicationProblem-solving

Languages:English

Tech Stack:Reinforcement learningMachine learningData pipelines

Eligibility

Visa:Visa Sponsorship

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn