Machine Learning Engineer

Role responsibilities include:

• 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.

Required Qualifications

• 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.

Preferred

• 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.