
Forward Deployed Engineer, Lead - LLM Post-training
Reflection8 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