Machine Learning Engineer - Boston, United States - isee ai

Description

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.

isee ai focuses on Automotive, Machine Learning, Artificial Intelligence, Software, and Hybrid Vehicles. Their company has offices in Boston and Cambridge. They have a small team that's between 11-50 employees. To date, isee ai has raised $57.737M of funding; their latest round was closed on November 2022.

You can view their website at