Machine Learning Engineer Jobs

Job Title: ML Engineer - Perception

Location: Belmont, CA

Duration: 12 Months with possible extension

Pay Rate Range: $70 - $80/hr. on W2

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Role Summary

• The incumbent will not be given clear cut projects – instead this individual and subsequent team will be responsible for coming up with the “next big thing” that nobody has thought of as yet, building it and selling it.
• Applications could include autonomous driving, manufacturing, design etc.
• This position should be held by a Computer Science Engineer, or equivalent, with experience in the development of Software and Software architectures.
• This role will be tasked with applying machine learning/deep learning to the automotive industry.
• Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity.
• This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety.

Role Responsibilities

Duties & Responsibilities

• Transfers technologies and solutions to *** Group.
• Maintains, as well as furthers, enhances existing machine learning modules.
• Keeps up to speed with the state of the art of academic research and technology in the industry.
• Designs and implements new machine learning based approaches based on existing frameworks.

Education and Skills Requirements

• Master’s Degree in Computer Science or equivalent. PhD preferred.
• Familiarity with LIDAR data, HD maps and multi-head CNNs
• Strong programming skills with Python and TensorFlow
• Experience with Transformers, CNNs, RNN, LSTMs and the latest research trends.
• Experience with data gathering, data quality, system architecture, coding best practices.
• Strong background in Deep Neural Network Learning, Computer Vision and Machine Learning
• Experience with 3D reconstruction from 2D frames (SFM, NERF, Instant NERF)
• Specification/Documentation of interfaces between software modules.

Please let me know the best time to reach you, or you may call me directly at 973-394-3971. However, if you are not interested at this time, feel free to refer this position to someone you may know to be a fit.