Machine Learning Engineer Jobs in California

1 - 20 of 661 Jobs

Senior Machine Learning EngineerJob Title - Senior Machine Learning Engineer

Adobe SystemsCompany Name - Adobe Systems

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San Jose, California, USA

Full-time

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences wher

Machine Learning Engineer 5Job Title - Machine Learning Engineer 5

Adobe SystemsCompany Name - Adobe Systems

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San Jose, California, USA

Full-time

Staff Offline Perception ML Engineer, Perception, AutonomyJob Title - Staff Offline Perception ML Engineer, Perception, Autonomy

RivianCompany Name - Rivian

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Palo Alto, California, USA

Full-time

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it

Principal ML Engineer - Embodied AIJob Title - Principal ML Engineer - Embodied AI

General MotorsCompany Name - General Motors

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Mountain View, California, USA

Full-time

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. Role: In t his role, you will be at the forefront of developing and deploying large-scale Foundation Models (FMs) that enhance our automotive technologies at General Motors focused on Autonomous Driving & Robotics. You will work closely with a dynamic team of AI and ML researchers, data sci

Senior Machine Learning Engineer - MembershipJob Title - Senior Machine Learning Engineer - Membership

Uber CorporateCompany Name - Uber Corporate

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San Francisco, California, USA

Full-time

About The Role The Membership team is responsible for developing and reinventing the Uber and UberEats app to be a member-first experience from: price to perks . You will be on a super collaborative team designed to maximize your ability to deliver results. You will be working on code that's closest to the eaters today and consumers in the future. Your work will create a tailor experience for every member to make best use of their membership. For an industry synonymous with convenience, it's i

Senior Machine Learning EngineerJob Title - Senior Machine Learning Engineer

Adobe SystemsCompany Name - Adobe Systems

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Los Angeles, California, USA

Full-time

Principal Machine Learning Engineer (DLP)Job Title - Principal Machine Learning Engineer (DLP)

PaloAlto NetworksCompany Name - PaloAlto Networks

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Santa Clara, California, USA

Full-time

Company Description Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of

Staff Machine Learning Engineer - Pricing & IncentivesJob Title - Staff Machine Learning Engineer - Pricing & Incentives

Uber CorporateCompany Name - Uber Corporate

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San Francisco, California, USA

Full-time

About the Role The role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, dynamic trip pricing based on marketplace conditions. The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that impact Uber's global business very directly. What You Will Do: - Work with product, data science, and eng leadership to sh

Machine Learning EngineerJob Title - Machine Learning Engineer

Adobe SystemsCompany Name - Adobe Systems

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San Jose, California, USA

Full-time

Staff Machine Learning Engineer - Causal InferenceJob Title - Staff Machine Learning Engineer - Causal Inference

Uber CorporateCompany Name - Uber Corporate

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San Francisco, California, USA

Full-time

About the Role The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session. Surge plays a critical role in service of Uber's mission to make transport accessible. We generate billions o

Sr Principal Machine Learning Engineer (GenAI/LLM)Job Title - Sr Principal Machine Learning Engineer (GenAI/LLM)

PaloAlto NetworksCompany Name - PaloAlto Networks

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Santa Clara, California, USA

Full-time

Principal Machine Learning Engineer (NLP - AI Runtime Security)Job Title - Principal Machine Learning Engineer (NLP - AI Runtime Security)

PaloAlto NetworksCompany Name - PaloAlto Networks

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Santa Clara, California, USA

Full-time

Staff Machine Learning Engineer, Uber MapsJob Title - Staff Machine Learning Engineer, Uber Maps

Uber CorporateCompany Name - Uber Corporate

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San Francisco, California, USA

Full-time

About the Role Maps is foundational to every Uber experience-whether for riders, eaters, or earners. From pickup and dropoff location search, to rendezvous point recommendations, to optimal route and ETA predictions-Maps services power the entire lifecycle of a Ride or Delivery. As a Machine Learning Engineer on the Uber Maps team, you will play a key role in developing intelligent systems that drive Uber's Location and Mapping capabilities across Rides, Eats, and other lines of business. In

Machine Learning EngineerJob Title - Machine Learning Engineer

Meta Platforms, Inc. (f/k/a Facebook, Inc.)Company Name - Meta Platforms, Inc. (f/k/a Facebook, Inc.)

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Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Machine Learning Engineer: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2505-151106: $187974/year - $200200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and d

Staff Machine Learning Engineer, Intelligent Scheduling SystemsJob Title - Staff Machine Learning Engineer, Intelligent Scheduling Systems

Tesla MotorsCompany Name - Tesla Motors

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Fremont, California, USA

Full-time

Tesla is seeking a Machine Learning Engineer to join our cross-functional team of ML and software engineers focused on building and scaling intelligent scheduling systems that drive service operations across our global network. This includes solving complex, high-impact problems such as vehicle routing, resource allocation, demand forecasting, and operational optimization. In this role, your primary focus will be using and integrating state-of-the-art AI tools - including large language models (

Machine Learning Engineer 2Job Title - Machine Learning Engineer 2

Adobe SystemsCompany Name - Adobe Systems

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San Jose, California, USA

Full-time

Staff Machine Learning Engineer - Marketplace SignalsJob Title - Staff Machine Learning Engineer - Marketplace Signals

Uber CorporateCompany Name - Uber Corporate

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San Francisco, California, USA

Full-time

The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions. As a Staff Machine Learning Engineer, you will design,

Senior Staff Machine Learning Engineer, Communication & ConnectivityJob Title - Senior Staff Machine Learning Engineer, Communication & Connectivity

AirbnbCompany Name - Airbnb

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San Francisco, California, USA

Full-time

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We connect Airbnb's community with the right information, in the right place, at the right time. We tailor M

Sr./Staff ML Engineer, Perception, AutonomyJob Title - Sr./Staff ML Engineer, Perception, Autonomy

RivianCompany Name - Rivian

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Palo Alto, California, USA

Full-time

Staff Machine Learning Engineer - Delivery Pricing & IncentivesJob Title - Staff Machine Learning Engineer - Delivery Pricing & Incentives

Uber CorporateCompany Name - Uber Corporate

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Sunnyvale, California, USA

Full-time

About the Role We are looking for a Staff ML Engineer to join our Delivery Pricing & Incentives team at Uber. In this role, you will design and productionize end-to-end ML solutions to tackle strategically important challenges in Uber's multi-sided marketplace, impacting the top-line and bottom-line of the business. You will provide ML technical leadership, identify gaps/opportunities, and influence the org's direction of ML-powered product innovations. What You Will Do - Partner with cross-f