Research Engineer / Research Scientist, Vision

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Role overview

We’re looking for research engineers with a strong computer vision background who believe that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. In this role you will work on research, development, and evaluation for state-of-the-art Claude models, focusing on visual and spatial capabilities. The role is highly collaborative and touches many aspects of broader research efforts, taking a full-stack approach across pretraining, supervised learning (SL), reinforcement learning (RL), and runtime techniques such as agentic harnesses. You will also partner with the product organization to ensure vision improvements impact Claude’s performance on real-world tasks.

Annual Salary: $350,000 - $850,000 USD

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 product teams to solve API customer challenges related to vision and spatial reasoning.
• Build pipelines to ingest, process, and evaluate novel sources of visual training data.
• Design and run experiments to evaluate scalability and datamixes for synthetic and real-world vision datasets.

Requirements

• At least a Bachelor’s degree in a related field or equivalent experience.
• 7+ years of experience in machine learning, computer vision, and software engineering (industry, academia, or equivalent projects).
• Familiarity with the architecture, training, and operation of large vision–language models.
• Experience creating and evaluating large synthetic and real-world visual training datasets.
• Experience with systematic prompting, fine-tuning, or evaluation of models.
• Results-oriented, flexible, and focused on impact; comfortable with pair programming and cross-team collaboration.
• Care about the societal impacts of your work.

Strong candidates may also have experience with

• Large-scale pretraining, supervised learning (SL), and reinforcement learning (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.
• Fine-tuning Claude to maximize 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.

Logistics & workplace policy

• Locations: New York City; San Francisco; Seattle (see job posting for office details).
• Location-based hybrid policy: staff are expected to be in an office at least 25% of the time; some roles may require more time in offices.
• Education: Minimum of a Bachelor’s degree in a related field or equivalent experience.
• Visa sponsorship: Anthropic sponsors visas and retains an immigration lawyer; sponsorship is subject to role and candidate fit.

Benefits & culture

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces. The company emphasizes large-scale, collaborative research with strong communication and impact orientation.

How to apply

Submit your application via the Anthropic careers page; provide either a LinkedIn profile or resume. The application includes questions about relocation and visa sponsorship status, and asks candidates to confirm understanding of AI partnership guidelines for the hiring process.