XPENG is seeking to improve its autonomous driving systems through advanced data analytics and machine learning techniques.
Requirements
- Proficiency in programming languages such as Python and C++.
- Solid understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and neural networks.
- Hands-on experience with data manipulation and visualization tools (e.g., Pandas, Matplotlib).
- Ability to work with large, complex datasets and perform data wrangling and cleaning.
- Experience with reinforcement learning and decision-making algorithms for autonomous systems.
- Familiarity with autonomous vehicle testing, simulation, and real-world data collection.
- Experience with large-scale data processing frameworks
Responsibilities
- Develop and apply advanced data analytics, machine learning, and statistical modeling techniques to solve complex problems related to autonomous driving systems.
- Analyze large datasets generated by vehicle sensors to improve self-driving algorithms.
- Perform data preprocessing, cleaning, and feature engineering to ensure high-quality input for model development.
- Evaluate model performance and implement strategies for improvement, including tuning and retraining models with new data.
- Develop data pipelines and visualization tools to monitor model performance and provide actionable insights to stakeholders.
- Collaborate on the design and development of real-time data processing systems that support autonomous driving operations.
- Stay current with the latest advancements in machine learning, computer vision, and autonomous driving technologies, and apply them to improve our products.
Other
- Master’s degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field (PhD is a plus).
- 3-5 + years of experience as a Data Scientist, Data Analyst, or in a similar analytical role.
- Strong problem-solving skills with the ability to apply analytical thinking to self-driving challenges.
- Strong communication skills and ability to work in a collaborative, multidisciplinary environment.
