Senior Machine Learning Engineer

Job Description

Lead ML model development for autonomous robotics systems. Join a cutting-edge team building the future of robotics and automation. You'll work on computer vision, sensor fusion, and real-time decision making systems that power our autonomous robots.

Requirements

• MS/PhD in Computer Science, Machine Learning, or related field
• 5+ years of experience in machine learning and deep learning
• Proficiency in Python, TensorFlow, PyTorch, and MLOps frameworks
• Experience with computer vision and robotics applications
• Strong understanding of distributed training and model optimization
• Experience with cloud platforms (AWS, GCP, Azure) and containerization
• Knowledge of real-time systems and edge computing preferred

Responsibilities

• Design and implement ML models for robotic perception and control
• Develop real-time inference pipelines for autonomous systems
• Optimize models for edge deployment and low-latency requirements
• Collaborate with robotics engineers on sensor fusion and control systems
• Build MLOps infrastructure for model training, validation, and deployment
• Mentor junior engineers and lead technical design reviews
• Research and implement state-of-the-art algorithms in robotics