Research Engineer, PhD

August 11

🏢 In-office - Bay Area

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Logo of Matic

Matic

Building fully autonomous home robots.

Computer Vision • NLP • Structure from Motion • Machine Learning • Deep Learning

51 - 200

Description

• 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

Requirements

• 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

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