Anthropic · 4 days ago
Research Engineer, Reward Models Platform
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$315K/yr - $340K/yrAnthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems. They are seeking a Research Engineer to automate research workflows and build tools that enable researchers to develop and optimize reward signals for model training.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation
Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies
Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects
Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment
Implement monitoring and observability systems to track reward signal quality and surface issues during training runs
Collaborate with researchers to translate science requirements into platform capabilities
Optimize existing systems for performance, reliability, and ease of use
Contribute to the development of best practices and documentation for reward development workflows
Qualification
Required
Have prior research experience
Are excited to work closely with researchers and translate ambiguous requirements into well-scoped engineering projects
Have strong Python skills
Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms
Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling
Can balance building robust, maintainable systems with the need to move quickly in a research environment
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Care about the societal impacts of your work and are motivated by Anthropic's mission to develop safe AI
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
Preferred
Experience with ML research
Building internal tooling and platforms for ML researchers
Data quality assessment and pipeline optimization
Experiment tracking, evaluation frameworks, or MLOps tooling
Large-scale data processing (e.g., Spark, Hive, or similar)
Kubernetes, distributed systems, or cloud infrastructure
Familiarity with reinforcement learning or fine-tuning workflows
Benefits
Equity
Benefits
Incentive compensation
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
Founded in 2021
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
CEO & Co-Founder
Daniela Amodei
President and co-founder
Recent News
2026-01-12
Company data provided by crunchbase