Machine Learning Engineer jobs in California

Unity

Mountain View, CA · $160,000 – $250,000

Senior machine learning engineer role focused on building and improving ad recommendation models for Unity's advertising platform using deep learning and user behavior data. Suits experienced ML practitioners who want to work on high-scale, real-world problems and see their research move into production.

Listed on Unity’s careers site · Apply there ↗

NIO

Full-time · San Jose, CA · $143,200 – $186,000

NIO seeks an engineer to research and optimize large language models and multimodal models for efficient inference and deployment in electric vehicles, particularly in digital cockpit and autonomous driving systems. This role combines algorithmic research with systems-level optimization across heterogeneous hardware, suited to someone with strong foundations in deep learning, GPU architecture, and a track record in model optimization.

Listed on NIO’s careers site · Apply there ↗

Cognition AI

San Francisco, CA

This role involves developing and refining the training methods that turn raw AI models into effective agents, focusing on post-training techniques like reinforcement learning from human feedback and evaluation design. It suits researchers and engineers with a track record in ML systems optimization who thrive in fast-moving, ambiguous environments where research and product development move together.

Listed on Cognition AI’s careers site · Apply there ↗

Taskrabbit

Full-time · San Francisco, CA · $170,000 – $225,000

Staff-level machine learning engineer to own the architecture and reliability of Taskrabbit's core ranking system, which matches task requesters with Taskers. You'll define system direction, mentor junior engineers, and partner cross-functionally with product and data science teams on one of the company's most consequential ML systems.

Listed on Taskrabbit’s careers site · Apply there ↗

Agility Robotics

Full-time · Fremont, CA · $207,000 – $323,000

A staff-level machine learning engineer role focused on building perception systems for deployed humanoid robots operating in warehouses and manufacturing. This position suits engineers with deep expertise in object detection and tracking who want to own the full technical architecture of computer vision systems deployed on real robots at scale.

Listed on Agility Robotics’s careers site · Apply there ↗

Together AI

Full-time · San Francisco, CA · $200,000 – $260,000

Senior ML engineer responsible for optimizing how Together AI serves voice models like Whisper and Parakeet on GPU hardware, with focus on inference latency, throughput, and production-grade reliability. Suits engineers with deep model-serving and infrastructure experience who want to shape a foundational product in real-time voice AI.

Listed on Together AI’s careers site · Apply there ↗

Krea AI

Full-time · San Francisco, CA

This role involves building and training large-scale diffusion models for image and video generation at an AI creative tools startup. It suits machine learning engineers with hands-on experience optimizing deep learning systems and a track record of shipping production models.

Listed on Krea AI’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $174,720 – $295,680

This role focuses on developing and optimizing large language models for deployment on XPENG's custom AI chip, with emphasis on quantization techniques to reduce model size and inference latency. It suits experienced machine learning engineers who have shipped quantized models in production and want to work on real-world autonomous driving applications.

Listed on XPeng’s careers site · Apply there ↗

Cognition AI

San Francisco, CA

This role focuses on building the distributed systems and infrastructure that enable AI research at scale, owning everything from GPU cluster management to experiment orchestration. It suits experienced systems engineers who understand both distributed computing fundamentals and deep learning frameworks deeply enough to anticipate researcher needs and eliminate bottlenecks.

Listed on Cognition AI’s careers site · Apply there ↗

Intuit

Full-time · Mountain View, CA · $273,500 – $369,500

Lead AI science initiatives focused on marketing applications, building and deploying machine learning models that drive customer value at scale. This role suits experienced ML leaders who combine deep technical expertise in machine learning or statistics with the ability to influence business strategy and mentor teams across the organization.

Listed on Intuit’s careers site · Apply there ↗

Together AI

Full-time · San Francisco, CA · $200,000 – $300,000

A Machine Learning Engineer role optimizing AI inference systems at scale, building production systems for large language models using PyTorch. This suits engineers with deep systems knowledge who want to work on the infrastructure powering AI applications.

Listed on Together AI’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $174,720 – $295,680

This role involves developing and training predictive world models that simulate how physical environments evolve, using multimodal data from autonomous vehicles and robots to improve driving and robotic policies. It suits machine learning engineers with deep learning expertise who want to work on foundational AI systems for autonomous systems at scale.

Listed on XPeng’s careers site · Apply there ↗

XPeng

Internship · Santa Clara, CA

This internship at the General Intelligence Center focuses on developing autonomous driving and intelligent cabin systems using advanced AI techniques like foundation models, reinforcement learning, and simulation-driven physical AI. It suits students interested in machine learning infrastructure, autonomous systems, or software engineering applied to real-world robotics and mobility challenges.

Listed on XPeng’s careers site · Apply there ↗

Intuit

Oakland, CA · $209,500 – $283,500

Credit Karma seeks a Staff AI Scientist to lead machine learning initiatives that improve financial recommendations and monetization across their platform. This role suits someone with extensive ML expertise and strong communication skills who can drive cross-functional projects that directly impact millions of users' financial outcomes.

Listed on Intuit’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA

This is a full-time position for a 2027 graduate to join a robotics research center working on foundation models, manipulation, and locomotion systems. The role is suited to someone with machine learning or control systems expertise who wants to apply AI to physical robot systems.

Listed on XPeng’s careers site · Apply there ↗

Intuit

Mountain View, CA · $273,500 – $369,500

A senior machine learning researcher role leading the development of AI standards, evaluation methodologies, and foundation models across Intuit's organization. This suits experienced data scientists ready to combine hands-on modeling with technical leadership and cross-functional collaboration at scale.

Listed on Intuit’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $174,720 – $295,680

XPENG is hiring a specialist to develop reinforcement learning controllers for humanoid robots, focusing on locomotion and whole-body motion using techniques like PPO and imitation learning. This role suits someone with a background in robotics or machine learning who wants to bridge simulation and real hardware in a fast-moving AI company.

Listed on XPeng’s careers site · Apply there ↗

Intuit

Mountain View, CA · $209,500 – $283,500

This is a Staff-level AI scientist role focused on building and scaling generative AI infrastructure and capabilities across Intuit's product suite. The ideal candidate has deep expertise in LLMs, agentic AI systems, and production ML deployment, and will lead cross-functional efforts to advance Intuit's AI platform while embedding responsible AI principles.

Listed on Intuit’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $174,720 – $295,680

XPeng is hiring a machine learning data engineer to build and manage data pipelines and datasets that feed their AI and autonomous driving systems. The role suits someone with 3+ years experience in data engineering who wants to work on large-scale ML infrastructure at a company developing self-driving vehicles and robotics.

Listed on XPeng’s careers site · Apply there ↗

Intuit

Mountain View, CA · $203,000 – $284,500

Lead machine learning systems from end-to-end—feature pipelines, model training, deployment, and monitoring—for a consumer platform that processes millions in business value. This role suits a seasoned ML engineer who can set technical standards, mentor teammates, and evolve shared infrastructure while directly shipping models that drive measurable impact.

Listed on Intuit’s careers site · Apply there ↗

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 ↗