Machine Learning Engineer: Multimodal Sensor Fusion
Actively Hiring
Full-time $147k Posted 5 months ago
Responsibilities
- check_circle Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shipping
- check_circle Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs
- check_circle Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications
- check_circle Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership
- check_circle Establishing coding standards, best practices, and technical strategies for your team
Basic qualifications
- B.S and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
- Experience in deep learning frameworks such as PyTorch
- Proficiency in Python development, using best coding practices
Preferred qualifications
- Ph.D. or M.S., with 3+ years of industry experience in deep 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 AIML conferences
Tags & Focus Areas
Fulltime Machine Learning Deep Learning Ai