Machine Learning Lead Engineer

Responsibilities:

• Own the end-to-end Machine Learning systems powering the company, from data and training to evaluation, inference, and deployment.
• Build and evolve training and fine-tuning pipelines for large models.
• Architect high-performance inference systems, optimizing latency, GPU utilization, memory, cost, and reliability.

Outcomes:

• Research and models reliably translate into production-ready solutions with clear performance and quality targets.
• ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.
• Production issues are detected, debugged, and resolved quickly, minimizing user impact.

Qualifications:

• Machine Learning (ML) experience is required, including building and shipping production ML systems.
• Strong understanding of modern large-model training, fine-tuning, evaluation, and inference.
• Strong software engineering and systems fundamentals, with experience operating GPU-based ML workloads at meaningful scale.

Benefits:

• Medical insurance, Dental, Vision, Savings Plan Options, and PTO.
• Fully remote work environment.
• Opportunity to work on cutting-edge ML infrastructure and large models.