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Vision understanding is a critical addition to conversational AI, bridging the gap between speech and the physical world. We’re looking for an engineer or researcher who lives at the intersection of 3D computer vision and machine learning. You’ll tackle problems ranging from gaze tracking to SLAM, embedding physical constraints (e..g. refraction, light transport) into data-driven models. Working cross-functionally with research, hardware, and product teams, you’ll turn cutting-edge vision techniques into features that power our next-generation wearables.
Job Responsibility:
Contribute to the development of our ML models across various flavors of 3D computer vision problems
Work across the ML stack, including model architectures, data capture, data curation, model evaluation, training & inference infrastructure, research, and experimentation
Collaborate with firmware and hardware engineers to deploy models onto embedded devices
Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals
Requirements:
Experience working with a high degree of autonomy in ambiguous environments
Proven experience in developing machine learning and computer vision models
Familiar with state-of-the-art in computer vision
Strong proficiency in deep learning frameworks such as PyTorch or Jax
Familiarity with large-scale dataset handling, including multi-camera datasets
Excellent communication skills and the ability to work collaboratively across disciplines
Bachelor’s degree or higher in computer science, computer vision, applied mathematics, machine learning, or a related field
Nice to have:
Master’s / Ph.D. desired
Experience deploying models in products
Experience in a startup environment
Experience incorporating geometric, physical, and/or structural priors into data-driven approaches
What we offer:
401k matching
100% employer-paid health, vision, and dental benefits