Join TuSimple and help change the way the world moves. Together we're making freight transportation safer, more efficient, and more environmentally friendly.
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.
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.
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.