What are the responsibilities and job description for the Staff Machine Learning Engineer position at XPENG Motors?
XPeng Motors is one of China's leading smart electric vehicle ("EV") companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.
We are looking for a machine learning engineer, with strong enthusiasm towards building LVMs and foundation models.
Our mission is to solve the autonomous driving problem. You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
Job Responsibilities :
- Design deep learning algorithms that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles.
- Adopt the latest research advancement in machine learning into production, especially areas such as foundation models, semantic understanding, large language / vision models, few / zero-shot learning.
- Work with software developers and algorithm developers to ship impact to our product.
Minimum Skill Requirements :
What do we provide :
The base salary range for this full-time position is $215,280-$364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.