Perception Machine Learning Engineer

| San Francisco
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Ike’s mission is to make trucks safer, truckers more valuable, and trucking more efficient. We are bringing together the world’s leading experts in transportation and robotics to transform the way the world moves and build a real commercial product at scale. 

About Your Role

You will be a key contributor on a small, collaborative team focused on one of the most exciting machine learning applications today. We are looking for machine learning engineers who can develop models to address perception challenges for trucking such as long range object detection and construction zones. Despite being an early stage startup, Ike has labeling and model training / deployment infrastructure in place so that you can hit the ground running. 

About Your Work

  • Fine-tune existing detectors and / or prototype new network architectures 
  • Fuse multiple sensors or novel inputs into the detectors 
  • Improve on-vehicle network performance (e.g., latency) 
  • Stay up to date with the literature and incorporate state-of-the-art ideas

About You

  • Strong interest in getting models into production on the robot
  • Excellent software development skills in C++ and/or Python
  • Deep learning focused on object detection and segmentation
  • Deep learning development frameworks (Pytorch, Tensorflow, Caffe)
  • Deep learning inference (Cuda, TensorRT) 
  • Pipelines for processing and labelling raw sensor data 

Ike is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We never discriminate on the basis of race, creed, color, ethnicity, national origin, religion, gender, sex, sexual orientation, gender expression, age, height, weight, veteran status, marital status or disability status.

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Location

1475 Indiana St, San Francisco, CA 94107

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