Staff Machine Learning Engineer - Foundation Model

OverviewXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.We are looking for a full-time Machine Learning Engineer with deep knowledge and enthusiasm for establishing a state-of-the-art ML infrastructure for training very large foundation models and accelerating model training/inference. You will work with a team of software engineers, machine learning engineers, and research scientists to push the boundary of state-of-the-art machine learning models enabling the next-generation end-to-end solution for autonomous driving.ResponsibilitiesDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of millions of vehicles.Minimum qualificationsMaster in Computer Science / Computer Engineering / Electrical Engineering, or equivalent, with 5+ years of industry experience.Good knowledge of PyTorch.Knowledge of model training frameworks (e.g., PyTorch Lightning).Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.Experience using PyTorch DDP for distributed training.Preferred qualificationsPhD in Computer Science / Computer Engineering / Electrical Engineering, or equivalent, with 3+ years of industry experience.Strong publication record in top academic conferences or journals (e.g., CVPR, NeurIPS, ICML, ICCV, ECCV, ICLR).Experience in training large-scale vision or language models.Previous experience in the autonomous driving industry.Ability to solve complex problems collaboratively on larger teams.What we offerA fun, supportive and engaging environment.Infrastructure and computational resources to support your work.Opportunity to work on cutting-edge technologies with top talents in the field.Opportunity to make a significant impact on the transportation revolution through advancing autonomous driving.Competitive compensation package.Snacks, lunches, dinners, and social activities.Equal OpportunityWe 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 status protected by applicable law. #J-18808-Ljbffr