Vision-Language Research Engineer for Multimodal RL

Anthropic Limited; Seattle (WA); Hybrid; USD 350.000 - 850.000; Vollzeit

Benefits dieser Stelle

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Zusammenfassung

Anthropic is seeking a research engineer who believes visual and spatial reasoning are core to unlocking the capabilities of LLMs. On the Vision team, you’ll own the end-to-end process of creating training data and RL environments for visual knowledge work, including task identification, eval design, rewards, and scaling data.

This role is highly collaborative—you’ll partner with external vendors, pretraining, RL, and product teams to ensure environments translate into real-world capabilities.

Qualifikationen

• 7+ years of ML, computer vision, and software engineering experience
• Experience with reinforcement learning, reward design, or training data curation for large models
• Familiarity with architecture, training, and operation of large vision-language models
• Comfortable managing technical vendor relationships and iterating on feedback
• Results-oriented with flexibility and impact
• Concern for societal impacts

Aufgaben

• Own data strategy for vision capabilities end-to-end, from building evals and scaling RL environments
• Manage external data vendors: write task specs, evaluate visual data, and iterate on reward design
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality at scale
• Run generalization experiments to measure data strategy impact on multimodal capabilities
• Collaborate with pretraining, RL, and product teams to align efforts

Kenntnisse

ML experience

Computer vision

Software engineering

Reinforcement learning

Reward design

Training data curation

Vision-language models

Vendor management

Results oriented

Societal impact

Jobbeschreibung

Anthropic is seeking a research engineer who believes visual and spatial reasoning are core to unlocking the capabilities of LLMs. On the Vision team, you’ll own the end-to-end process of creating training data and RL environments for visual knowledge work, including task identification, eval design, rewards, and scaling data.

This role is highly collaborative—you’ll partner with external vendors, pretraining, RL, and product teams to ensure environments translate into real-world capabilities.