Senior Architect, Model Performance and Post-Training

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Job Description:

  • Develop meticulous frameworks to measure and analyze coding model performance across code generation, debugging, code completion, repository-level reasoning, and multi-step software engineering tasks
  • Develop and optimize post-training pipelines for coding models, including supervised fine-tuning (SFT), preference optimization, reinforcement learning (RL), and outcome-based or process-based reward modeling
  • Analyze benchmark results, training dynamics, failure modes, and model behaviors to find opportunities for improvement
  • Improve model performance on sophisticated coding tasks through targeted training interventions, reward design, curriculum development, and iterative error analysis
  • Build scalable, reproducible infrastructure for training experiments, evaluation pipelines, and model performance analysis
  • Collaborate with research scientists, infrastructure engineers, and product teams to turn model insights into production-ready capabilities

Requirements:

  • Bachelor's degree (or equivalent experience) in Computer Science or AI
  • 12+ years of meaningful work experience
  • Excellent programming skills in Python
  • Strong understanding of large language models, transformer architectures, and training and evaluation of generative models
  • Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design
  • Deep understanding of software engineering fundamentals, code generation, automated testing, and program correctness
  • Proven track record to lead model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines
  • Experience training or post-training state-of-the-art coding models or models designed for software engineering agents
  • Experience with execution-based rewards, verifiable rewards, reward hacking mitigation, and automated code evaluation
  • Familiarity with coding benchmarks and evaluation environments such as SWE-bench

Benefits:

  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity
  • Benefits for you and your family
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