Senior ML Engineer/Scientist, Prediction & Planning

---

Job description

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

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 planning ML team is responsible for developing the cutting edge machine learning algorithms to predict the future trajectories of the vehicles and pedestrians on the roads and model interaction between the ego truck with those dynamic environments. The planning ML model results are critical input to the downstream planning decision making modules to make optimized driving decisions.

Example projects we are working on include:

Trajectory prediction using CNN technologies in environments that are hard to describe numerically
Modeling the interaction between the truck and other road agents and predicting for the negotiation outcome
Building solid benchmark system to quantify the data-driven model performance
Encoding the prediction uncertainty and collaborate with planning to make stochastically optimized decision

What You'll Do:

Deliver high-quality and reliable code for deep learning prediction modules on autonomous driving trucks
Build and maintain efficient pipelines and reliable benchmarks 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 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 including but not limited to CNN, RNN, Encoder-Decoder, GraphNN

Preferred:

PhD in Computer Science, Math/statistics or related field.
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 the use of model-predictive control to guide RL convergence
Understanding of risk-aware planning concepts and algorithms, and general uncertainty management
Familiar with front-end frameworks

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.