ISEE is seeking a full-time Machine Learning Engineer to join their team.
The ideal candidate should have several years of work experience.
Role responsibilities include working on the intersection of sensing and perception algorithms.
The engineer will prototype and deploy robust computer vision algorithms on ISEE’s vehicle fleet in areas such as sensor calibration, localization and mapping, fusion, tracking, and pattern recognition.
The engineer will be responsible for benchmarking and maintaining developed modules.
The position requires working independently to deliver high-quality code in a timely fashion.
Collaboration with the team for testing, evaluation, and review of code is also essential.
Requirements:
A degree in Computer Science, Electrical Engineering, Robotics, or a related field is required.
Experience in deploying deep learning models at scale on real-world data in at least one of the following deep learning frameworks: PyTorch, Tensorflow, or Caffe is necessary.
Hands-on experience with developing, training, and deploying deep learning models in multimodal (sensors space and temporal) real-world data is required.
Strong skills in Python and/or C++ are essential.
A passion for self-driving vehicles and real-world robotic solutions is important.
Strong presentation and communication skills are required.
Benefits:
The position offers the opportunity to work remotely from anywhere in the US.
Joining a team that is at the forefront of machine learning and autonomous vehicle technology.
The chance to contribute to innovative projects in the field of computer vision and robotics.
Opportunities for professional growth and development in a rapidly evolving industry.
