machine learning Jobs in pleasanton, ca

Refine Results
101 - 120 of 1,993 Jobs

Senior Manager, Machine Learning Engineering

ServiceNow, Inc.

Santa Clara, California, USA

Full-time

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But thi

Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation - San Jose) - 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A243214A Apply to this job Share this listing: Responsibilities About the team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a

Machine Learning Engineer, Commerce & Content Service & Search Ads - (General Hire)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A203456 Apply to this job Share this listing: Responsibilities Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business i

(General Hire) Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A180440B Apply to this job Share this listing: Responsibilities Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business

Principal Machine Learning Engineer, Account Authentication

Roblox

San Mateo, California, USA

Full-time

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with op

Staff Software Engineer, ML Training and Inference Infrastructure

Rivian

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

Senior Machine Learning Engineer, GenAI 3D

Roblox

San Mateo, California, USA

Full-time

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with op

Machine Learning Quality Engineer

ServiceNow, Inc.

Santa Clara, California, USA

Full-time

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But thi

Machine Learning Engineer Graduate (Data-Search-TikTok.US - San Jose) - 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A91016 Apply to this job Share this listing: Responsibilities About the team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also ex

Machine Learning Engineer - CV/NLP/Multimodal LLM (TikTok Trust and Safety) - 2025 Start(Master/Bachelor)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A205054 Apply to this job Share this listing: Responsibilities The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in

Tech Lead, Machine Learning Engineer (Multiple Positions)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A118107 Apply to this job Share this listing: Responsibilities About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mis

Technical Lead Manager, ML Infrastructure

Nuro Inc.

Mountain View, California, USA

Full-time

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver , to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms

Software Engineer, ML Inference Compiler & Deployment, AI Frameworks

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world, powering Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compi

Machine Learning Scientist III, Recommendations

Wayfair

Mountain View, California, USA

Full-time

The base pay for this position is $198,000 - $209,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units will be provided as part of the compensation package.About this role We are looking for an experienced Machine Learning Scientist to join our content recommendations team. In this role, you will be at the core of building and optimizing ML-based recommender systems (e.g., image and content recommendations, hom

Staff AI/ML Software Engineer

ServiceNow, Inc.

Remote or Santa Clara, California, USA

Full-time

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But thi

Staff Research Engineer, Speech Machine Learning (TTS)

Samsung Electronics America

Mountain View, California, USA

Full-time

Lab Summary: Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses,

Principal ML Engineer - Embodied AI

General Motors

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

Software Engineer, ML Inference Compiler & Deployment, GPU, CPU

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to

Software Engineer, ML Inference Compiler & Deployment, AI Accelerator

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to

Machine Learning Engineer, Network Deployment & Inference, Optimus

Tesla Motors

Palo Alto, California, USA

Full-time

Tesla is building robust, real-world AI through humanoid robots. As a Software Engineer within our robotics teams, you will contribute to one of the most advanced Robotics/AI Platforms in the world. You'll be responsible for integrating machine learning models with real-time systems, working across the software stack to ensure seamless communication between neural networks and hardware components. This role is ideal for engineers with strong systems-level & networking expertise, and a solid gras