Planning Machine Learning Engineer Intern

Summary

XPeng Motors is looking for a Deep Learning Engineer with strong ML/DL system design skills and software development experience to work on developing algorithms for autonomous vehicles. The engineer will be responsible for researching, designing, and implementing deep-learning-based methods for prediction and planning, as well as working with a team of computer vision, AI systems, and software engineers.

Requirements

• 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
• 2+ 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

Responsibilities

• 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

Preferred Qualifications

• 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
• Hands on experience in developing DL based planning engine for autonomous driving or robotic system
• Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems
• Experience in DL model deployment and optimization tools such as ONNX and TensorRT

Benefits

• 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
• We are an Equal Opportunity Employer