Senior Machine Learning Engineer

Senior Machine Learning Engineer

Role: Senior Machine Learning Engineer

Location: Santa Clara, CA (On-site, 5 days per week)

We're working with an AI company building foundational infrastructure for robotics and embodied intelligence. The focus is on enabling next-generation foundation models through large-scale, real-world data systems.

The team brings together experienced leaders across robotics, autonomous systems, and large-scale machine learning, and collaborates closely with leading AI labs and enterprise partners globally.

The Opportunity

This is a Senior Machine Learning Engineer role focused on building scalable ML systems for real-world perception.

You’ll work across the full ML lifecycle from data pipelines and model development through evaluation and production deployment, applying modern deep learning techniques to complex, multi-view, and temporal visual data.

The work is highly hands-on and spans 3D computer vision, video understanding, and human motion tracking, with direct impact on embodied AI and robotics applications.

Key Responsibilities

• Design and build end-to-end machine learning systems on large-scale real-world datasets
• Develop models in 3D computer vision and video understanding using spatial-temporal data
• Build and optimize human pose estimation and motion tracking systems
• Apply state-of-the-art ML techniques to ambiguous, evolving problem spaces
• Improve model performance, temporal consistency, and production scalability
• Partner with engineering, research, and product teams on system design and delivery
• Contribute to architecture decisions and ML best practices across the platform

Requirements

• 3+ years of experience building and shipping machine learning systems
• Strong Python skills with PyTorch, TensorFlow, or similar frameworks
• Hands-on experience in at least one of the following:
• 3D computer vision
• Human pose / motion tracking
• Video understanding
• Solid understanding of ML workflows, evaluation, and production pipelines
• Comfortable operating in fast-moving, ambiguous environments

Nice to Have

• MS or PhD in Computer Science, ML, or related field
• Experience with human kinematics, pose estimation, or motion capture (e.g., SMPL/SMPL-X)
• Familiarity with Transformers, CNNs, and multi-view geometry
• Experience with large-scale training or video-heavy ML systems
• Background in robotics, embodied AI, or egocentric perception
• Publications (CVPR, ICCV, NeurIPS, etc.) or strong open-source work