Forward Deployed Engineer, Post-Training

📋 Description

• Help customers define and execute their data strategy for model post-training, diagnose data
• Recommend the right post-training approach for each use case
• Design well-controlled experiments and tracking methods; diagnose training instabilities, reward
• Build evaluation frameworks with customers including task-specific benchmarks, LLM-as-judge
• Guide base model selection methodology ahead of post-training efforts
• Scope and size RL and fine-tuning workloads, partner with sales and capacity teams

🎯 Requirements

• 5+ years in technical role in ML engineering, Applied AI, Forward Deployed Engineering, or
• Expert-level hands-on experience with fine-tuning and/or RL for LLMs (SFT, LoRA, DPO, RL such as
• Strong track record designing experiments, running ablations, building evaluations
• Proven ability to build and iterate on training datasets
• Broad knowledge of state-of-the-art open-source models and strong judgment on base model selection
• Strong Python skills; comfortable in production environments

🎁 Benefits

• Competitive compensation, startup equity, health insurance, other benefits, flexible remote work