Research Engineer, Visual Knowledge Work (AI)

Location: New York City, NY; San Francisco, CA; or Seattle, WA. Hybrid policy requires staff to work from one of the offices at least 25% of the time, with some roles requiring more office time.

Annual salary: $350,000–$850,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Own the end-to-end data strategy for visual capabilities, including evaluations and reinforcement-learning environments.
• Manage technical relationships with external data vendors, including task specifications, visual data quality, annotation quality, and reward design.
• Develop scalable QA frameworks to detect reward hacking and maintain environment quality.
• Run generalization experiments to measure the impact of data strategy changes on multimodal capabilities.
• Collaborate with pretraining, reinforcement learning, product, and external vendor teams.

Requirements

• 7+ years of experience in machine learning, computer vision, and software engineering 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.
• Experience managing technical vendor relationships and iterating quickly on feedback.
• Bachelor’s degree or equivalent education, training, and experience in a relevant field.
• Ability to work from an Anthropic office at least 25% of the time.

Nice to have

• Experience designing evaluations or benchmarks for large language or vision-language models.
• Large-scale pretraining, supervised learning, or reinforcement learning experience.
• Deep learning research involving images, video, or other modalities.
• Experience developing complex agentic systems with large language models.
• Experience with large-scale ETL and data pipeline development.

Culture & Benefits

• Collaborative research environment focused on large-scale AI efforts and measurable impact.
• Frequent research discussions and cross-functional collaboration.
• Flexible working hours, generous vacation and parental leave, and competitive benefits.
• Optional equity donation matching and office-based collaboration.
• Visa sponsorship is available, with immigration-lawyer support, although sponsorship cannot be guaranteed for every role or candidate.