Staff Planning Machine Learning Engineer
San Diego, Santa Clara, CA
Full Time Senior-level / Expert USD 220K - 370K
XPeng Motors
Welcome to the official website of XPENG Motors. Discover our newest models, customize your smart e-vehicle and drive today the car of tomorrow.- Research and develop algorithms for deep-learning-based methods for prediction and planning.
- Design efficient model architectures that can run in real-time on the computing platform of our vehicles.
- Develop offline data-driven ML infrastructure for fast adaptation of the planning ML models.
- Deliver on target planning SW and closely work with the perception team to achieve the most intelligent autonomous driving systems.
- Work with massive field-testing data to continuously improve autonomous driving technologies.
- Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.
- Partnering with system software engineering specialists to ship industrial strength ML models.
- Communicating and collaborating with multi-functional teams.
- MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
- Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics.
- 3 - 5 years + of experience working with DL frameworks such as PyTorch, Tensorflow.
- Strong Python programming experience with software design skills.
- Solid understanding of data structures, algorithms, code optimization and large-scale data processing.
- Excellent problem-solving skills.
- Hands on experience in developing DL based planning engine for autonomous driving.
- Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems.
- Experience in other ML/DL applications, e.g., reinforcement learning.
- Experience in DL model deployment and optimization tools such as ONNX and TensorRT.
- A fun, supportive and engaging environment
- Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
- Opportunity to work on cutting edge technologies with the top talent in the field
- Competitive compensation package
- Snacks, lunches and fun activities
Tags: Architecture Autonomous Driving Computer Science Computer Vision Data Analytics Data Mining Deep Learning Engineering Industrial Machine Learning ML infrastructure ML models Model deployment Model training ONNX PhD Python PyTorch R R&D Reinforcement Learning Research RNN TensorFlow TensorRT Testing
Perks/benefits: Career development Competitive pay Equity Salary bonus
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