Drimva

Anthropic

Research Engineer, Visual Knowledge Work

$350K–$850K

New York City, NY +3 · Full-time · Posted Jan 16, 2026

Location
New York City, NY
San Francisco, CA
Seattle, WA
San Francisco, California, United States
Experience
7+ years of ML, computer vision, and software engineering experience; the logistics section says required years correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: a field relevant to the role, demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; Anthropic says it will make every reasonable effort to obtain a visa after an offer and provides immigration counsel.

About the job

Own end-to-end data strategy for visual capabilities by creating training data, evaluations, and reinforcement-learning environments that improve multimodal knowledge-work capabilities.

What you'll do

  • Build evaluations and scale RL environments; develop data strategy and measure generalization on held-out evaluations.
  • Manage technical relationships with data vendors, including task specifications, data and annotation quality, and reward design.
  • Develop QA frameworks to detect reward hacking and ensure environment quality at scale.

What they ask for

  • 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects.
  • Experience with reinforcement learning, reward design, or training data curation for large language or vision-language models.
  • Familiarity with the architecture, training, and operation of large vision language models.
  • Comfort managing technical vendor relationships and iterating quickly on feedback.

Nice to have

  • Experience designing evals or benchmarks for LLMs or vision language models.
  • Experience with large-scale pretraining, SL, and RL; deep learning research on images or video; agentic systems; or large-scale ETL and data pipelines.

Pay

$350,000 — $850,000 USD (base salary)

Tools

LLMs, vision-language models, RL, SL, ETL, Claude

AI focus

Develop visual and spatial reasoning capabilities for AI through training data, RL environments, evaluations, and multimodal experiments.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 4, 2026 (UTC)