Machine Learning Engineer jobs in California

Taskrabbit

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

Lead machine learning efforts to increase customer retention and lifetime value at a two-sided marketplace, owning everything from ranking models and recommendation systems to the infrastructure that supports them at scale. This role suits experienced ML engineers who have shipped production systems and want to apply their expertise to core business problems in matching, pricing, and customer engagement.

Listed on Taskrabbit’s careers site · Apply there ↗

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 ↗

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 ↗

Deepgram

San Francisco, CA · $150,000 – $250,000 · Remote

This role focuses on building scalable training systems and tools that accelerate machine learning research for speech AI, combining infrastructure engineering with research support. It suits engineers who thrive on rapid experimentation, enjoy bridging research and product, and want to work on foundational problems in audio AI.

Listed on Deepgram’s careers site · Apply there ↗

Mem0

Full-time · San Francisco, CA · $175,000 – $250,000

A research engineer role focused on developing and shipping machine learning models for long-term memory systems in AI agents, turning research ideas into production features with real customer data and rapid iteration cycles.

Listed on Mem0’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 ↗

Fiddler AI

Palo Alto, CA · $175,000 – $260,000 · Remote

A machine learning research and engineering role focused on building and deploying production-grade safety and quality classifiers for large language models and AI agents. This position suits experienced AI practitioners who thrive on translating research into hardened systems while mentoring others and maintaining close partnerships with enterprise customers.

Listed on Fiddler AI’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 ↗

NVIDIA

Santa Clara, CA · $184,000 – $356,500

This role involves designing and deploying machine learning models for autonomous vehicle perception systems, working with LiDAR, camera, and multi-sensor fusion technologies at scale. It suits experienced ML engineers with a strong computer vision background and a track record of shipping production AI systems.

Listed on NVIDIA’s careers site · Apply there ↗

Unity

Full-time · Mountain View, CA · $210,300 – $273,400

Lead the development of goal-directed AI agent systems within the Unity engine, creating frameworks and models that enable sophisticated in-game behaviors and simulations. This role suits experienced ML engineers who want to push the boundaries of reinforcement learning and multi-agent systems in real-time 3D environments.

Listed on Unity’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 the critical middle phase of LLM training, where raw capability is shaped into reasoning, generalization, and reliability. It suits researchers and engineers who excel at designing data strategies, training schedules, and synthetic pipelines—and who thrive making high-leverage decisions with minimal constraints.

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 ↗

Agility Robotics

Full-time · Fremont, CA · $195,000 – $304,000

This role involves developing and deploying machine learning policies for humanoid robots performing real-world tasks in warehouses and manufacturing. You'll research imitation and reinforcement learning methods, design simulation environments, and work directly with physical robots to move cutting-edge techniques from research into production.

Listed on Agility Robotics’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 ↗

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

A machine learning engineer role building personalization and recommendation systems for an AI creative tools company. This suits someone experienced with recommendation systems and media-based personalization who wants to own a full product stack from research through production.

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

Sentry

San Francisco, CA · $155,000 – $400,000 · Remote

Sentry is building AI-native application monitoring by integrating machine learning into their core products. You'll develop production agentic systems for issue triage and debugging, working with a massive dataset of real production errors while collaborating across engineering and product teams.

Listed on Sentry’s careers site · Apply there ↗

Menlo Ventures Portfolio

Full-time · San Francisco, CA · $350,000 – $850,000

Anthropic seeks a Research Engineer to work across their full ML stack, tackling foundational challenges in building AI systems capable of scientific reasoning and complex problem-solving. This role bridges research and engineering, requiring deep expertise in language models, distributed systems, and performance optimization to scale prototypes into production systems.

Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗

XPeng

Full-time · Santa Clara, CA · $215,280 – $364,320

This role involves developing and optimizing large language models for deployment on XPeng's custom AI hardware, with a focus on quantization techniques, inference pipelines, and autonomous driving performance validation. It suits experienced machine learning engineers who enjoy bridging research and production systems, particularly those with deep expertise in model optimization and on-device inference.

Listed on XPeng’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 ↗