Machine Learning Lead Engineer

📋 Description

• Own the end-to-end machine learning systems lifecycle, including data processing, model training
• Build, maintain, and enhance training and fine-tuning pipelines for large-scale machine learning
• Design and implement evaluation frameworks to measure model capabilities, robustness, safety, and
• Architect and optimize high-performance inference systems, improving latency, GPU utilization
• Develop scalable data pipelines that support high-quality real-world and synthetic training
• Establish and maintain production infrastructure for deploying, monitoring, troubleshooting, and

🎯 Requirements

• Demonstrated professional experience in machine learning engineering; hands-on ML experience is
• Proven experience building and deploying production machine learning systems used by real users
• Strong understanding of modern large-model training, fine-tuning, evaluation, and inference
• Proficiency in Python and practical experience with machine learning frameworks such as PyTorch or
• Experience with GPU-based training and inference systems, including operating and optimizing
• Strong software engineering and systems fundamentals, with the ability to write production-grade

🎁 Benefits

• Fully remote, work-from-home arrangement.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Savings plan options.
• Paid time off (PTO).