ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.

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.