Machine Learning Engineer
3 weeks ago
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.
You can view their website at
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