Machine Learning Engineer - Data Driven Simulation

October 9

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Torc Robotics

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autonomous vehicles • automotive autonomy • self-driving cars • autonomous mobility • autonomous trucks

501 - 1000

Description

• The Machine Learning Engineer will shape the future of data for autonomous trucking by contributing to our data driven perception simulation pipeline. • Implement the latest research advances in Neural Rendering and related domains. • Advance modern simulation techniques by using state-of-the art ML approaches and computer vision techniques. • Support implementing a neural rendering framework that allows to scale perception simulation. • Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks. • Develop a data workflow for the input and output to our pipeline.

Requirements

• BS or MS in computer vision, machine learning, computer science, computer engineering or related fields • 3+ years of software development experience or a PhD in machine learning, Computer Vision, or related field • Strong experience in Python and science libraries like Numpy, SciPy, Pandas and Matplotlib • Experience with one or more deep learning framework such as PyTorch or TensorFlow • Expert knowledge of the principles, algorithms and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. • Experience with 3D Computer Vision or rendering algorithms • Experience in applying machine learning towards rendering, 3D computer vision or related field, preferably multiple projects in these core areas • Track record of successfully building and shipping products or open-source projects

Benefits

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • Company-wide holiday office closures • AD+D and Life Insurance