Forward Deployed Engineer Lead LLM Post-training

Skills

About the Role

You will lead customer post-training engagements from data assessment through training and deployment. You will build reinforcement-learning environments, synthetic-data and evaluation pipelines, prepare datasets, run training loops, optimize distributed training, deploy models, and establish technical standards.

Requirements

• LLM post-training experience at scale
• Reinforcement learning training environments
• Preference optimization workflows
• Synthetic data generation
• Reward models
• Verifiers
• Evaluation methodology
• Multi-node GPU clusters
• Distributed training
• Data pipelines
• Version control for datasets and models
• Reproducible workflows
• 6+ years of engineering experience
• 2+ years focused on LLM post-training in a leadership capacity
• Customer-facing technical experience or interest

Responsibilities

• Lead customer post-training engagements and define training strategies
• Design reward signals, verifiers, datasets, training loops, and customer benchmarks
• Build reinforcement-learning training environments
• Build synthetic data generation, reward model, and preference data workflows
• Build evaluation infrastructure and test sets
• Own data pipelines from raw customer data to training-ready datasets
• Deploy post-trained models across hybrid environments
• Define playbooks and technical standards
• Mentor engineers

Benefits

• Stock options
• Medical, dental, vision, and life insurance
• Annual wellness allowance
• Daily office lunch and dinner
• 22 weeks of paid parental leave
• Unlimited paid time off in the U.S.
• 30 vacation days in the U.K.
• Visa sponsorship support
• Regular off-sites, happy hours, and team celebrations