58 open listings · Page 3 of 3
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
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Senior Staff Physical AI Data Algorithm Engineer
XPeng
Full-time · Santa Clara, CA · $203,450 – $344,300
This role designs and maintains the integrated architecture for collecting, processing, and using vehicle data to train autonomous driving AI models at scale. It suits engineers with experience in large-scale data systems, AI infrastructure, and end-to-end machine learning pipelines who want to shape the technical foundation of a self-driving car company.
Listed on XPeng’s careers site · Apply there ↗
Senior AI Scientist
Intuit
2 locations · $165,500 – $243,500
Intuit seeks an AI scientist to build and deploy machine learning models that power fraud detection, security, and personalization across their product suite. This role suits someone who enjoys hands-on data work, from ETL and feature engineering through experimentation and statistical validation, and who can communicate technical findings to non-technical stakeholders.
Listed on Intuit’s careers site · Apply there ↗
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Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models
XPeng
Full-time · Santa Clara, CA · $244,140 – $413,160
XPENG is hiring a senior machine learning engineer to lead the development of vision-language-action models and world models for autonomous driving at scale. This role suits someone with deep expertise in foundation models and reinforcement learning who can architect end-to-end systems balancing research innovation with production-vehicle requirements.
Listed on XPeng’s careers site · Apply there ↗
Staff Machine Learning Engineer
Intuit
3 locations · $202,500 – $274,000
A Staff Machine Learning Engineer will design, build, and deploy data science models at scale within Intuit's data science team, working across the full pipeline from data preparation through A/B testing and impact analysis. This role suits experienced ML engineers comfortable with the mathematical foundations of machine learning and production software engineering practices who want to work on problems serving millions of users.
Listed on Intuit’s careers site · Apply there ↗
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Staff Machine Learning Engineer - AI Foundation
XPeng
Full-time · Santa Clara, CA · $215,280 – $364,320
XPENG is hiring a staff-level ML engineer to optimize large language models and foundation models for autonomous driving applications, focusing on inference efficiency and training acceleration. This role suits someone with deep expertise in transformer optimization, GPU programming, and model deployment who wants to work on cutting-edge AI infrastructure for self-driving vehicles.
Listed on XPeng’s careers site · Apply there ↗
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Senior Machine Learning Engineer - AI Foundation
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
XPENG is seeking a machine learning engineer to optimize and deploy large language models for autonomous driving applications, focusing on inference efficiency across diverse hardware platforms. This role suits engineers with deep transformer knowledge and hands-on experience in kernel optimization, quantization, and model acceleration techniques.
Listed on XPeng’s careers site · Apply there ↗
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Senior Machine Learning Engineer - Foundation Model
XPeng
Full-time · Santa Clara, CA · $174,720 – $295,680
This role involves building and optimizing large-scale vision-language-action foundation models that form the core of XPENG's autonomous driving systems. You'll design multi-modal architectures, lead pretraining strategies on massive fleet data, and collaborate across research and infrastructure teams to deploy intelligent models for next-generation vehicles.
Listed on XPeng’s careers site · Apply there ↗
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Staff Machine Learning Engineer - Foundation Model
XPeng
Full-time · Santa Clara, CA · $215,280 – $364,320
XPeng is seeking a machine learning engineer to develop vision-language-action foundation models for autonomous driving systems, working with massive datasets and distributed computing infrastructure. This role suits researchers and practitioners with deep learning expertise who want to shape next-generation self-driving technology.
Listed on XPeng’s careers site · Apply there ↗