Research Engineer, Visual Knowledge Work

Anthropic
New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 350,000 - 850,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["AI","Machine learning","Vision","Multimodal","Research"]

Research-focused role applying computer vision to vision-language models (Claude). You will run experiments, develop tools and agentic infrastructure for visual reasoning, and create benchmarks across training and deployment, collaborating with product teams to address API challenges and impact real-world tasks.

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Anthropic
Anthropic
7 months ago

Research Engineer, Visual Knowledge Work

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Research-focused role applying computer vision to vision-language models (Claude). You will run experiments, develop tools and agentic infrastructure for visual reasoning, and create benchmarks across training and deployment, collaborating with product teams to address API challenges and impact real-world tasks.
Location: New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Run experiments to evaluate architectural variants, data strategies, and SL and RL techniques to improve Claude’s vision.
  • •Develop and test tools, skills, and agentic infrastructure that enable Claude to reason over visual inputs.
  • •Create evaluations and benchmarks that measure progress on multimodal capabilities across training and deployment.
  • •Work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning

Pay and Benefits

Salary: USD 350,000 - 850,000 annually

Key Requirements

  • •Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects.
  • •Are familiar with the architecture, training, and operation of large vision language models.
  • •Have experience creating and evaluating large synthetic and real-world visual training datasets.
  • •Have experience engaging in systematic prompting, finetuning, or evaluation.
  • •Are results-oriented, with a bias towards flexibility and impact
Experience:7+ yearsAIMultimodalVisionMachine learning
Education:Bachelor's
Skills:AIMachine learningVisionMultimodalResearch
Languages:English
Tech Stack:PyTorchJAXTPUGPUCUDAData pipelinesETL

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
WebsiteLinkedIn