Senior Machine Learning Engineer/Scientist

San Diego, CA

Full Time Senior-level / Expert
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TuSimple
TuSimple builds the world's largest Autonomous Trucks and most advanced Driverless vehicles. Find self-driving freight trucking, Long Haul, Semi-trailer and autopilot systems.
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Job Description:

Tusimple is a self-driving technology company with a mission to bring automation to the trucking industry. Planning machine learning plays a critical role in the mission. At TuSimple, the Machine Learning team is responsible for developing the cutting edge algorithms to help analyze data, build benchmarks, generate intuitions to help further improve our autonomy algorithms in an ML-first fashion, build training and data pipelines, and last but not least architect and train novel ML models. You will get to work on every aspect of self-driving from a machine learning perspective including but not limited to perception, prediction, planning, auto-triage, simulation, auto-mapping and more. 

What You'll Do:

  • Build ML pipelines to benchmark and analyze data with an information theoretic approach.
  • Deliver high-quality and reliable code for deep learning modules on autonomous driving trucks. 
  • Build and maintain efficient and reliable tools for improving deep learning model performance.
  • Collaborate with other engineers to conduct system integration and tests.

What You'll Bring:

  • 1-5+ years of professional experience working with autonomous vehicles.
  • Masters in Computer Science, Math, Statistics, Physics or other related fields.
  • Product-quality code in C++ and/or Python.
  • Experience in designing and building machine learning/deep learning data pipelines.
  • Knowledge in deep learning topics such as CNN, RNN, Encoder-Decoder, GraphNN.

Preferred:

  • PhD in Computer Science, Math, Statistics, Physics or other related fields. 
  • Knowledge and experience in neural network computation optimization, such as distributed training, active learning, network quantization, and CUDA acceleration.
  • Experience with benchmarking and performance optimization of complex systems.
  • Experience with robotics simulation environments, model-based RL, and model-predictive control.
  • Familiar with deep learning frameworks such as Pytorch and Tensorflow.

Perks

  • Visa sponsorship is available for this position 
  • Opportunity for professional growth and career advancement 
  • Competitive salary and benefits
  • Daily breakfast, lunch, and dinner
  • Shape the landscape of autonomous driving
  • 100% Company paid Medical, Vision, and Dental insurance plan
  • Company 401(K) program
  • Company paid life insurance
  • Company paid education/training. 
  • Company paid gym membership.  

TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.



Job region(s): North America
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