Research Engineer, Matic

• Robust machine learning background in computer vision and perceptual tasks, including 3D perception, multi-class object detection, 3D maps, and advanced robotics controls
• Track record of product-focused research applied to real-world applications
• Fluency with Rust (or C++) and Python (PyTorch or similar tools)
• Ability to write clean, reliable code that is easily maintained

Desirable

• Translate open-ended, real-world problems into well-defined machine learning problems
• Design, build, and code computer vision-based algorithms
• Build novel neural network architectures
• Design and implement robust 3D geometry-based vision algorithms
• Build scalable machine learning infrastructure to train on large datasets and simultaneously be reproducible
• Analyze results, continuously update and improve accuracy & speed of various algorithms
• Deploy algorithms & machine learning pipelines at scale on the edge devices with limited compute without sacrificing performance
• Work to enable Level 5 autonomy in consumer robotics
• Cross-collaborate with Hardware, Electrical, and Systems teams to bring product vision to life