Research Engineer

Each year, 2.5 trillion hours are spent on household chores. At Matic, we’re on a mission to recapture that lost time, and we’re doing it by revolutionizing home robotics.

Our first product, also called Matic, is a Wall-E-esque floor cleaning robot. We've built what amounts to "full self-driving in the home” with real-time 3D mapping, adaptive path-tracking, and a precise semantic understanding of the home. Our breakthroughs in spatial AI allow Matic to work reliably in real homes, using only RGB cameras and neural networks running on-device.

What happens in the home, stays in the home. Our robots are private by design, with all data processing performed by the robot itself, not in the cloud.

Before the iPhone, consumers adopted several distinct devices; cell phones, PDAs, and portable music players each served a particular need. We believe in a similar progression for home robotics, starting with single-purpose robots and building iteratively toward more complex capabilities over time.

Matic is a tight-knit and collaborative team, singularly focused on building products our customers will cherish. We're ultra-hardworking people committed to solving tough problems that save precious time and energy.

We're looking for a motivated perception engineer to join us on the ground floor, with a runway for huge and immediate impact.

What you'll do

• 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

What we look for

• 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

We'd love to hear from you if...

• You are genuinely motivated to help those around you

• You are passionate about learning outside of your normal comfort zones

• You love diagnosing complex technical issues

• You are excited to do great work