Machine Learning Engineer jobs in California

Intuit

Mountain View, CA · $226,000 – $306,000

This role leads the design and deployment of credit and fraud risk models for Intuit's consumer lending and banking products, affecting hundreds of thousands of customers. It suits an experienced AI scientist comfortable moving between hands-on modeling work and team leadership, who can navigate regulatory requirements and partner with product and engineering to ship risk solutions at scale.

Listed on Intuit’s careers site · Apply there ↗

KLA-Tencor

Full-time · Milpitas, CA · $136,300 – $231,700

KLA seeks a deep learning engineer to advance computer vision and image processing for semiconductor manufacturing inspection systems. This role involves developing and optimizing state-of-the-art models across the full lifecycle, from conception through deployment, for a leader in process control technology.

Listed on KLA-Tencor’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $179,400 – $303,600

This role involves designing and implementing reinforcement learning algorithms for autonomous vehicle planning, working with computer vision and software engineering teams to deploy real-time AI solutions. It suits experienced ML engineers who want to apply advanced techniques to production autonomous driving systems.

Listed on XPeng’s careers site · Apply there ↗

Voyager

Full-time · El Segundo, CA · $120,000 – $170,000

This role develops deep learning and machine learning models for computer vision, radar, and geospatial applications serving U.S. government customers. It suits engineers with 0–5 years of experience who want to apply neural networks to real-world defense and space challenges.

Listed on Voyager’s careers site · Apply there ↗

AeroVironment

Full-time · San Diego, CA · $123,500 – $188,500

A machine learning engineer role focused on developing detection algorithms for Counter-UAS systems, working with signal processing and large RF datasets to identify drone threats. Suited for someone with a strong foundation in DSP and deep learning who wants to solve real-world defense challenges at the intersection of signal processing and MLOps.

Listed on AeroVironment’s careers site · Apply there ↗

SAP

Full-time · Palo Alto, CA · $247,000 – $420,000

This role leads a machine learning engineering team building AI capabilities into SAP's enterprise applications, combining large language models with business knowledge graphs. You'll architect solutions, mentor developers, and guide proof-of-concept projects while staying hands-on with backend infrastructure and cloud technologies.

Listed on SAP’s careers site · Apply there ↗

NIO

Internship · San Jose, CA · $38 – $46 / hour

This internship focuses on optimizing large language models and multimodal models for efficient inference and deployment in NIO's autonomous vehicle systems. It suits recent computer science graduates or master's students with strong foundations in deep learning, GPU optimization, and systems-level thinking who want to bridge AI research with real automotive applications.

Listed on NIO’s careers site · Apply there ↗

Cognition AI

San Francisco, CA

This role focuses on optimizing large language models during the critical mid-training phase, where base models are refined for reasoning and reliability. You'll design data strategies, manage training schedules, and develop synthetic data pipelines that directly determine what AI agents can accomplish in production.

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

Labelbox

Full-time · San Francisco, CA · $250,000 – $280,000

Build infrastructure and systems that enable frontier AI labs to train and evaluate agentic models, bridging high-throughput platform engineering with deep reinforcement learning expertise. This role combines designing RL environments and reward systems, implementing verification and grading pipelines, and scaling fine-tuning infrastructure for teams pushing the boundaries of AI agents.

Listed on Labelbox’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 ↗

Anyscale

San Francisco, CA · $170,000 – $199,000 · Remote

A technical support role helping customers deploy and optimize machine learning workloads on Anyscale's distributed computing platform. Suits experienced ML practitioners who enjoy troubleshooting complex infrastructure issues and working across customer and engineering teams.

Listed on Anyscale’s careers site · Apply there ↗

Together AI

Full-time · San Francisco, CA · $220,000 – $280,000

This role leads the model serving infrastructure for real-time voice AI applications, optimizing how large language and speech models run on GPU hardware with minimal latency. It suits experienced ML engineers who have shipped inference systems at scale and want to shape the technical direction of a fast-growing voice platform.

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

Menlo Ventures Portfolio

Full-time · San Francisco, CA · $500,000 – $850,000

Lead the development of evaluation systems for production large language models at Anthropic, focusing on measurement quality and providing observability into post-training processes. This role suits experienced ML researchers or engineers who care deeply about benchmarking rigor and can advise teams across a complex organization on evaluation methodology.

Listed on Menlo Ventures Portfolio’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 ↗

Eight Sleep

Full-time · San Francisco, CA

This role involves building machine learning systems that personalize sleep experiences through predictive models, foundation model applications, and behavior analysis. It suits engineers who enjoy owning projects end-to-end from research through production deployment and want to work on consumer health technology.

Listed on Eight Sleep’s careers site · Apply there ↗

Krea AI

Full-time · San Francisco, CA

Krea is seeking an ML engineer to design and implement a personalization and recommendation system for their creative AI tools from scratch. This role combines recommendation systems, representation learning, and generative models, ideal for someone who wants significant technical ownership in a creative AI company.

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

SAP

Full-time · Newport Beach, CA · $131,000 – $271,600

This role leads the design and production deployment of multi-agent AI systems that automate business processes for SAP's enterprise customers. You'll architect agent orchestration, build evaluation frameworks, and mentor engineers on a global team working on specialized foundation models and autonomous workflows.

Listed on SAP’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

A research engineer position focused on post-training techniques that bridge raw model capabilities to production-ready AI agents. The role combines ML research and engineering to develop training recipes, evaluation frameworks, and alignment methods that determine what AI systems can actually accomplish in the real world.

Listed on Cognition AI’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 ↗