# Research Engineer / Research Scientist, Vision

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** New York, NY, San Francisco, CA, Seattle, WA
**Role:** ML Engineering
**Salary:** $350k – $850k/yr
**Experience:** 7+ years
**Skills:** Computer Vision, Machine Learning, Large Vision Language Models, Synthetic Data Generation, Prompting, Finetuning, Evaluation, Pretraining, Supervised Learning, Reinforcement Learning, Agentic Systems, JAX, PyTorch, Gpus, Tpus
**Posted:** 2026-06-26

> Research engineer/scientist building and evaluating vision capabilities for Claude models. Requires 7+ years ML/computer vision experience and work across pretraining, RL, and agentic infrastructure.

## Job Description

## What you'll do

- 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

## You may be a good fit if you

- 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
- Enjoy pair programming and cross-team collaboration
- Care about the societal impacts of your work

## Strong candidates may also have experience with

- Large-scale pretraining, SL, and RL on language models
- Deep learning research on images, video, or other modalities
- Developing complex agentic systems using LLMs
- High-performance ML systems (GPUs, TPUs, JAX, PyTorch)
- Large-scale ETL and data pipeline development

## Representative projects

- Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset
- Finetuning Claude to maximize its performance using a particular set of agent tools/skills
- Building a pipeline to ingest and process a novel source of visual training data
- Designing and running experiments to evaluate the scalability of two architectural variants

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**Canonical:** https://hotfix.jobs/jobs/a82a404a-d973-4b1c-9a7e-73ce557c167a