GrepJob
Reflection

Forward Deployed Engineer, Lead - LLM Post-training

Reflection
Apply
8 months ago
San Francisco, CA, USA or New York, NY, USASenior / Staff+
H1B Sponsor

Responsibilities

  • Lead post-training engagements with enterprise customers to assess data and define training strategies.
  • Design and build reinforcement learning training environments and synthetic data generation pipelines.
  • Establish evaluation infrastructure to measure model performance against customer benchmarks.
  • Manage the data pipeline from raw customer data to training-ready datasets.
  • Deploy post-trained models across hybrid environments ensuring performance and reliability.
  • Mentor engineers and define best practices for applied AI work.

Requirements

  • Hands-on post-training experience with large language models at scale.
  • Experience building synthetic data generation pipelines and reward models for reinforcement learning.
  • Deep understanding of evaluation methodology and training dynamics.
  • Practical experience with training infrastructure at scale, including multi-node GPU clusters.
  • Strong software engineering fundamentals with production-quality code experience.
  • 6+ years of engineering experience, including 2+ years in a leadership role focused on LLM post-training.
  • Experience in customer-facing technical roles or a strong interest in developing this skill.
  • Self-starter with high agency and ownership in fast-paced environments.

Benefits

  • Top-tier compensation with salary and equity structured to retain talent.
  • Comprehensive health, dental, vision, life, and disability insurance.
  • Fully paid parental leave for all new parents and financial support for family planning.
  • Paid time off and relocation support to optimize work-life balance.
  • Daily lunch and dinner provided, along with regular team off-sites and celebrations.

Categories

AI & MLData Engineering