Lead Engineer, Machine Learning
Bjakcareer · United States
About this role
**Lead Engineer, Machine Learning** **About the Role** Own the execution layer of intelligence, turning research and model capabilities into reliable, scalable production systems. Work across the full model lifecycle: data, training, evaluation, inference, and deployment. This is a hands-on leadership role at the intersection of research, systems, and product. **What You'll Own** • End-to-end ML systems: data, training, evaluation, inference, and deployment • Training and fine-tuning pipelines for large models • Evaluation systems measuring capability, robustness, safety, and product performance • High-performance inference systems (latency, GPU utilization, memory, cost, reliability) • Data pipelines for high-quality real-world and synthetic training data • Production infrastructure for deployment, monitoring, and continuous improvement • Cross-functional partnerships with research and application engineering **What We're Looking For** • Production ML systems experience (not just research prototypes) • Strong understanding of large-model training, fine-tuning, evaluation, and inference • Excellent software engineering and systems fundamentals • Experience operating ML workloads at scale, particularly GPU-based systems • Strong technical judgment and independent problem-solving • Bias toward experimentation, measurement, and shipping • High standards for correctness, reliability, and production quality **Tech Stack** Python • PyTorch / JAX • GPU-based training and inference systems **How We Work** Small, high-talent-density team. Engineers have broad ownership and exercise strong judgment independently. We prioritize speed and building something exceptional over process. **Interview Process** 3-4 virtual and/or onsite interviews conducted by technical team members. Prompt decision-making and transparency throughout.
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