We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting-edge research and development in real-time and offline 2D and 3D algorithms. The successful candidate will be a hands-on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production-ready systems that power our next-generation products.
What you'll do
- Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds).
- Focus Area Expertise: Drive innovation in key perception areas, including:
- 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR).
- Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions.
- Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams.
- Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis.
What you need
- Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting.
- 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning.
- Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax).
- Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation.
- 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles.
- Building real-time and batch ML systems that analyze structured and unstructured signals
- Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements
