Research Engineer, Production Model Post Training
Anthropic
14 days ago
Zürich, Switzerland
Mid Level / Senior
H1B Sponsor
Responsibilities
- Implement and optimize post-training techniques at scale on frontier models.
- Conduct research to develop and optimize post-training recipes that improve production model quality.
- Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation.
- Develop tools to measure and improve model performance across various dimensions.
- Collaborate with research teams to translate emerging techniques into production-ready implementations.
- Debug complex issues in training pipelines and model behavior.
- Help establish best practices for reliable, reproducible model post-training.
Requirements
- Thrive in controlled chaos and manage multiple urgent priorities.
- Adapt quickly to changing priorities.
- Maintain clarity when debugging complex, time-sensitive issues.
- Possess strong software engineering skills with experience in building complex ML systems.
- Be comfortable working with large-scale distributed systems and high-performance computing.
- Have experience with training, fine-tuning, or evaluating large language models.
- Balance research exploration with engineering rigor and operational reliability.
- Analyze and debug model training processes effectively.
- Enjoy collaborating across research and engineering disciplines.
- Navigate ambiguity and make progress in fast-moving research environments.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
Tech Stack
Python
Categories
AI & MLData Science