Technical Lead, Machine Learning
Core
Own the execution layer of intelligence, turning research and model capabilities into reliable, scalable production systems for proactive applications.
Role type
Senior IC machine learning systems lead
Builds
End-to-end ML systems, training/fine-tuning pipelines, evaluation systems, high-performance inference systems, and data pipelines for real-world and synthetic training data.
Domain
AI / Large Language Models / Production Systems
Deliverable
production ML models
Required skills
ML systems architecture, large-model training and fine-tuning, evaluation system design, high-performance inference optimization, GPU-based system operations, data pipeline engineering, production infrastructure, technical trade-offs
Preferred skills
Experience shipping ML systems used by people, understanding large model failure modes, strong software engineering fundamentals, bias toward experimentation and measurement
Technologies
Python, PyTorch, JAX, GPU-based training and inference systems
Responsibilities
Build and evolve training and fine-tuning pipelines for large models; Design evaluation systems measuring capability, robustness, safety, and product performance; Architect high-performance inference systems optimizing latency, GPU utilization, memory, and cost; Build data pipelines for high-quality real-world and synthetic training data; Establish reliable production infrastructure for deploying, monitoring, and improving models; Partner with research and application engineering to turn model capabilities into product improvements
Seniority
Senior, hands-on IC
