About the job
We seek a proactive Computer Vision and Machine Learning Engineer to join our team in designing and implementing advanced algorithms for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.
Responsibilities
Developing cutting-edge CVML algorithms that push the boundaries of what is possible
Collaborating cross-functionally to understand algorithmic constraints and dependencies
Working with engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications
Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions
Advising on feature definitions/promising development directions in cross-functional groups
Qualifications
Minimum
B.S. and 10+ years of experience in software engineering, computer vision, machine learning or related fields.
Experience in deep learning frameworks such as PyTorch
Proficiency in Python development, using best coding practices
Preferred
M.S. or Ph.D. in computer vision, machine learning or related fields
Excellent math skills, including linear algebra, computational science and optimization
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
Hands-on experience of working with sensors and hardware
An interest in incubating ideas and taking them to finish
Experience shipping algorithms or publishing in top tier CVML conferences