Software Engineer, Machine Learning Jobs in California

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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

Sr. Staff System SW Architecture - ML Acceleration Lead Engineer

Qualcomm Technologies

San Diego, California, USA

Full-time

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Our System software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU and NPU. This position/s will expose you to Qualcomm's cutting edge CPU and NPU features and ML/AI acceleration needed for the industry. Candidate would participate in software architecture, Optimizing the core ML kernels using the late

Distinguished Planning Machine Learning Engineer - Autonomous Vehicles

NVIDIA Corporation

Santa Clara, California, USA

Full-time

NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. You will create innovative ML solutions for NVIDIA's next-generation automotive products. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep n

Machine Learning Engineer (L5) - Content Management & Distribution

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The goal of our Content Management & Distribution Data Science and Engineering team is to enable operational and creative excellence in the distribution and promotion o

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

Machine Learning Engineer - CV/NLP/Multimodal LLM (TikTok Trust and Safety) - 2026 Start(PHD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A115025 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

Senior Machine Learning AI Engineer / Fully Remote / PyTorch

Motion Recruitment Partners, LLC

Remote or Los Angeles, California, USA

Full-time

Job Description This is a full-time position based in Los Angeles, with flexibility for hybrid or fully remote work for the right candidate. You'll be joining a stealth-mode startup focused on building next-generation AI infrastructure for the connected home. The team is reinventing how hardware, software, and machine learning interact at the operating system level-enabling real-time intelligence through multimodal inputs such as voice, video, and contextual data. Work alongside a world-class

Senior Machine Learning Engineer - (Platform)

Coinbase

Remote

Full-time

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the

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

Principal AI/ML Engineer - State Estimation & Map Creation, 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 three times per week , at minimum, to at least one of our Bay Area office s ( San Francisco, Mountain View, and Sunnyvale ) . Role: As a Technical Lead in State Estimation within the SEAM Embodied AI organization, you will be a senior individual contributor driving cutting-edge state estimation solutions that directly impact autonomous driving performance. Your role is pivotal

Senior Engineer, Android AI/ML

Samsung Electronics America

Mountain View, California, USA

Full-time

Lab Summary: Join the Enterprise & Security Innovation Lab (ESIL) and be at the forefront of developing and researching groundbreaking AI/ML-powered mobile products at a production scale. Our team plays a pivotal role in transforming cutting-edge Machine Learning algorithms and research from across Samsung into innovative device security applications. Position Summary: This is a unique and exciting opportunity for a driven and talented engineer to actively shape the future of mobile security.

Senior Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A244339 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

Principal Prediction and Planning Machine Learning Engineer - Autonomous Vehicles

NVIDIA Corporation

Santa Clara, California, USA

Full-time

NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team. As a member of our team you will develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of prediction, planning, and control problems. You will create innovative ML solutions for NVIDIA's next-generation automotive products. The candidate is required to have hands-on experience and deep knowledge in machine learning. Understanding of deep n

Machine Learning Kernel Performance Engineer, Dojo

Tesla Motors

Palo Alto, California, USA

Full-time

As a member of the Dojo Machine Learning software team, you will be responsible for developing and optimizing machine learning kernels to run on a massively parallel machine. The ideal candidate will have a strong background in kernel development and performance optimization for AI workloads, with a passion for delivering high-performance implementations, which are simple to use. Responsibilities Develop and validate datapath kernels on a massively parallel machineDesign and deliver implementat

Senior Lead Machine Learning Infrastructure Engineer

LabCorp

San Francisco, California, USA

Full-time

Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people! Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. The genomics insights team leverages clinical genomic expertise, our massive genet

Machine Learning Engineer Intern (FeatureStore) - 2025 Summer (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A159658 Apply to this job Share this listing: Responsibilities Team Introduction: The TikTok Data Ecosystem Team plays a critical role in supporting TikTok's personalized recommendation system, which serves over 1 billion users. We are responsible for building scalable, reliable, and high-performance infrastructure for storing and serving machine learning features - especially user behavior sequences and contextual embeddings used in

Senior ML Engineer - Autonomous

Uber Corporate

San Francisco, California, USA

Full-time

About the Role We are looking for a highly-motivated, entrepreneurial machine learning practitioner to join our Autonomous Optimization team, which maximizes marketplace value of autonomous vehicles across Uber's Rides and Delivery platforms. As a senior machine learning engineer on the team, you will pioneer engineering, modeling, and optimization initiatives that bring autonomous vehicles into sustainable, general availability. What You Will Do - Work on solving complex inferences and optim

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Bellevue, Washington, USA

Full-time

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health op

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

Machine Learning Engineer, TikTok Branding Ads

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : J4917A Apply to this job Share this listing: Responsibilities Build the most powerful content understanding engine on the world's leading short-video platform! Retrieve and rerank billions of videos, redefine the intelligent connection between advertising and content with multimodal large language model. TikTok Brand Ads team is hiring multiple MLE/SWE roles, focusing on the in-depth application of multimodal large language models i