Member of Technical Staff, Post-Training
Posted
Tech Stack
Responsibilities
- Design post-training systems and methodologies for frontier models, including supervised fine-tuning, reinforcement learning, preference optimization, and reward modeling
- Translate open-ended research or partner needs into clear hypotheses, experiments, evaluation plans, and production-quality implementations
- Build and improve evaluation frameworks, benchmarks, training environments, data-processing pipelines, and quality-control systems
- Partner directly with AI researchers and domain experts to develop high-signal data, feedback, and evaluation methods
- Identify repeatable patterns across engagements and productize them into reusable software and platforms
Soft Skills
Reinforcement LearningSupervised Fine-TuningMachine LearningLlmCommunicationMentorship
Benefits
- 401k
- Commuter Benefits
- Dental
- Equity
- Flexible PTO
- Gym/Wellness
- Health Insurance
- Learning Budget
- Parental Leave
- Vision
Culture
High GrowthAutonomous TeamsCollaborative SpaceMentorship ProgramMission-Driven
Requirements
Regions: Us
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About handshake
Industry: saas
Size: large
Handshake connects millions of job seekers with employers and educational institutions, and recently launched Handshake AI to build advanced evaluations and data systems for AI labs.
View company profile →Compensation
Equity: Equity in a fast-growing company
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