Remote Machine Learning Engineer

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