Summary
ISEE is seeking a full-time Machine Learning Engineer with several years of experience to work on sensing and perception algorithms for their vehicle fleet. The ideal candidate should have a degree in Computer Science, Electrical Engineering, Robotics or related field, and experience in deploying deep learning models at scale.
Requirements
- Degree in Computer Science, Electrical Engineering, Robotics or related field
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe
- Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data
- Strong Python and/or C++ skills
- Passionate about self-driving vehicles and real-world robotic solutions
- Strong presentation and communication skills
Responsibilities
- Working on the intersection of sensing and perception algorithms
- Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition
- Benchmarking and maintaining developed modules
- Work independently to deliver high-quality code in a timely fashion
- Collaborate with team for testing, evaluation and review of code
Preferred Qualifications
- Publication record in top-tier computer vision or machine learning conferences
- 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios
- Robotics/autonomous experience is a plus
