Research Engineer
Core
Develop novel computer vision algorithms and connect research concepts to products via rapid prototyping for spatial intelligence and human-computer interaction.
Role type
Research Engineer (Computer Vision & Spatial Intelligence)
Builds
Production-ready systems for spatial intelligence and human-computer interaction across web, mobile, robots, smart glasses, and urban infrastructure.
Domain
Computer Vision, Deep Learning, Spatial Intelligence, Generative AI
Deliverable
production ML models | product features
Required skills
Python, PyTorch, TensorFlow, Machine Learning, Deep Learning, Computer Vision, 3D Computer Vision, Scene Reconstruction, Spatial Reasoning, Generative AI, Multimodal Foundation Models, Multimodal LLMs, Evaluation Metrics, Large-scale Dataset Training, High-performance Scalable Implementations
Preferred skills
Ph.D. in relevant technical field, Experience with agentic AI, Experience defining evaluation metrics and benchmarks, Experience training deep learning models on large-scale datasets
Technologies
PyTorch, TensorFlow
Responsibilities
Design, prototype, and develop production-ready systems; Convert research ideas and prototypes into robust, scalable, and maintainable systems; Collaborate with researchers on experimental ideas and publish papers; Present research findings internally and externally.
Seniority
Mid-Senior, hands-on IC with research output
