Machine Learning Lead Engineer

About the Role:

• You will lead engineering execution that transforms advanced ML research into reliable, scalable, production-ready systems.
• You will oversee the full ML lifecycle, from data preparation and model training to evaluation, inference, and deployment.

Key Responsibilities:

• Own the end-to-end ML systems lifecycle, including data processing, training, evaluation, inference, deployment, and optimization.
• Build and optimize training and fine-tuning pipelines for large-scale models and high-performance GPU inference systems.
• Collaborate closely with research and application engineering teams to translate model capabilities into product enhancements.

Requirements:

• Demonstrated professional experience in ML engineering and deploying production systems used by real users.
• Strong proficiency in Python and ML frameworks such as PyTorch or JAX.
• Experience with GPU-based training and inference at scale, plus solid software engineering fundamentals.

Benefits:

• Fully remote work-from-home arrangement.
• Medical, dental, and vision insurance, savings plan options, and PTO.