Member of Technical Staff, Post-Training

Posted

handshakeSan Francisco, CAHybridfull_timestaff

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