Research Engineer, Reward Models Platform
Anthropic
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $315,000 - $340,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Design and build infrastructure for researchers to iterate on reward signals
- Develop systems for automated quality assessment of rewards
- Create tooling for comparing reward methodologies
- Build pipelines to reduce toil in reward development
- Implement monitoring systems to track reward signal quality
- Collaborate with researchers to translate science requirements into platform capabilities
- Optimize existing systems for performance and reliability
Requirements
- Have prior research experience
- Strong Python skills
- Experience with ML workflows and data pipelines
- Building related infrastructure/tooling/platforms
- Comfortable working across the stack
- Results-oriented with a bias towards flexibility and impact
- Care about the societal impacts of your work
Benefits
- Competitive compensation and benefits
- Equity options
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space for collaboration
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonML workflowsdata pipelinesinfrastructuretoolingplatformsautomated quality assessmentmonitoring systemsperformance optimization
Soft skills
results-orientedflexibilityimpact-drivencollaborationcommunication