Visual Knowledge Engineer: Multimodal RL & Data

Anthropic; Seattle (WA); Hybrid; USD 350,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Lovely office space

Job summary

Anthropic is seeking a Research Engineer for the Vision team to own end-to-end data strategy for vision capabilities within LLMs. You will design, evaluate, and scale RL environments and data pipelines to advance multimodal reasoning and knowledge work.

You will also manage external data vendors, refine reward design, and collaborate with pretraining, RL, and product teams to ensure environments translate to real-world capabilities. A highly cross-functional role with significant impact.

Qualifications

• 7+ years of ML, computer vision and software engineering experience.
• Experience with reinforcement learning, reward design, or data curation for large language or vision-language models.
• Familiar with the architecture, training, and operation of large vision-language models.
• Capable of managing technical vendor relationships and iterating quickly on feedback.
• Results-oriented with a bias towards flexibility and impact.

Responsibilities

• Own the data strategy for vision capabilities end-to-end, including building evals and scaling RL environments.
• Manage technical relationships with external data vendors; write task specs and evaluate visual data quality.
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality at scale.
• Run generalization experiments to measure data strategy impact on multimodal capabilities.
• Collaborate with pretraining, RL, and product teams to align efforts across disciplines.

Skills

ML experience

Computer vision

Software engineering

Reinforcement learning

Reward design

LLM architectures

Vendor management

Education

Bachelor’s degree or higher

Job description

Anthropic is seeking a Research Engineer for the Vision team to own end-to-end data strategy for vision capabilities within LLMs. You will design, evaluate, and scale RL environments and data pipelines to advance multimodal reasoning and knowledge work.

You will also manage external data vendors, refine reward design, and collaborate with pretraining, RL, and product teams to ensure environments translate to real-world capabilities. A highly cross-functional role with significant impact.