Machine Learning Engineer III Jobs in San Jose, CA

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Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A15293 Apply to this job Share this listing: Responsibilities About the Team Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless a

Principal Machine Learning Engineer (NLP - AI Runtime Security)

PaloAlto Networks

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

Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A160337 Apply to this job Share this listing: Responsibilities The Search Growth team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerc

(General Hire) Machine Learning Engineer Graduate (Data-Search) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A138177A Apply to this job Share this listing: Responsibilities About the team In the Data Search Department, 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 a

Staff ML Engineer - Offboard 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

Android AI ML Engineer - On-Device

Infomatics Corp

Mountain View, California, USA

Contract

We are looking for a highly capable Android AI/ML Engineer - On-Device to help build intelligent, privacy-first mobile systems that can detect, respond to, and learn from dynamic real-world conditions. This role involves deploying resource-efficient ML models directly on Android devices, combined with backend integration for model management, telemetry, and secure update delivery. The ideal candidate has a strong background in on-device intelligence and cloud-integrated systems, especially in ap

Machine Learning Engineer (Data-Search-TikTok.US) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A88637 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

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

(General Hire) Machine Learning Engineer (Data and Eng - USDS) - 2025 Start (MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A147745 Apply to this job Share this listing: Responsibilities About the team We are a group of applied machine learning engineers and data scientists that focus on general recommendations and/or search. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning

Machine Learning Engineer Graduate (Risk Data Mining - USDS) - Start 2025 (MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A159637A Apply to this job Share this listing: Responsibilities The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team w

Lead ML Software Development Engineer

Adobe Systems

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 Graduate (Search E-Commerce- San Jose) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A186784A Apply to this job Share this listing: Responsibilities The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search ex

Sr Principal Machine Learning Engineer (GenAI/LLM)

PaloAlto Networks

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 Engineer, Machine Learning - Online Mapping

Nuro Inc.

Mountain View, California, USA

Full-time

Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capit

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

Senior Staff Research Engineer, Speech Machine Learning (ASR)

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,

Software Engineer, Machine Learning Integration, Optimus

Tesla Motors

Palo Alto, California, USA

Part-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

Sr. Product Development Engineer - AI/ML Frameworks, Python

AMD (Advanced Micro Devices)

San Jose, California, USA

Full-time

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellenc

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