XPENG & Volkswagen Group
Senior Machine Learning Engineer - Foundation Model
XPENG & Volkswagen Group, Santa Clara, California, us, 95053
Overview
XPENG is a leading smart technology company focused on AI, autonomous driving, electric vehicles (EVs), eVTOL aircraft, and robotics. The company invests in R&D in AI, machine learning, and smart connectivity to advance intelligent mobility and the future of transportation. We are looking for a full-time Machine Learning Engineer with deep knowledge and enthusiasm for establishing state-of-the-art ML infrastructure to train very large foundation models and accelerate model training and inference. You will work with software engineers, machine learning engineers, and research scientists to push the boundaries of state-of-the-art machine learning models enabling the next-generation end-to-end autonomous driving solution. Job Responsibilities
Design, train, and deploy large deep learning models that leverage labeled and unlabeled data from a fleet of millions of vehicles. Minimum Skill Requirements
Master in CS/CE/EE, or equivalent, with 3+ years of industry experience. Good knowledge of PyTorch. Knowledge of model training frameworks (e.g., PyTorch Lightning). Knowledge of transformer architecture and methods to accelerate training and inference of transformer models. Experience using PyTorch DDP for distributed training. Preferred Skill Requirements
PhD in CS/CE/EE, or equivalent, with 1+ years of industry experience. Strong publication record in top 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. Demonstrated ability to solve complex problems collaboratively within larger teams. What We Provide
A fun, supportive and engaging environment. Infrastructures 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 fun activities. Compensation
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hire salaries across all US locations. Within the range, individual pay is determined by work location and other factors including job-related skills, experience, and education or training. Equal Opportunity
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 category set forth in federal or state regulations. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information you provide will be recorded and maintained in a confidential file. Details about disability status and related categories are provided for compliance with VEVRAA and OFCCP requirements and are not tied to hiring decisions.
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XPENG is a leading smart technology company focused on AI, autonomous driving, electric vehicles (EVs), eVTOL aircraft, and robotics. The company invests in R&D in AI, machine learning, and smart connectivity to advance intelligent mobility and the future of transportation. We are looking for a full-time Machine Learning Engineer with deep knowledge and enthusiasm for establishing state-of-the-art ML infrastructure to train very large foundation models and accelerate model training and inference. You will work with software engineers, machine learning engineers, and research scientists to push the boundaries of state-of-the-art machine learning models enabling the next-generation end-to-end autonomous driving solution. Job Responsibilities
Design, train, and deploy large deep learning models that leverage labeled and unlabeled data from a fleet of millions of vehicles. Minimum Skill Requirements
Master in CS/CE/EE, or equivalent, with 3+ years of industry experience. Good knowledge of PyTorch. Knowledge of model training frameworks (e.g., PyTorch Lightning). Knowledge of transformer architecture and methods to accelerate training and inference of transformer models. Experience using PyTorch DDP for distributed training. Preferred Skill Requirements
PhD in CS/CE/EE, or equivalent, with 1+ years of industry experience. Strong publication record in top 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. Demonstrated ability to solve complex problems collaboratively within larger teams. What We Provide
A fun, supportive and engaging environment. Infrastructures 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 fun activities. Compensation
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hire salaries across all US locations. Within the range, individual pay is determined by work location and other factors including job-related skills, experience, and education or training. Equal Opportunity
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 category set forth in federal or state regulations. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information you provide will be recorded and maintained in a confidential file. Details about disability status and related categories are provided for compliance with VEVRAA and OFCCP requirements and are not tied to hiring decisions.
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