machine learning engineer ii Jobs in california

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Sr. Engineering Manager, AI/ML Infrastructure - Slack

Salesforce

San Francisco, California, USA

Full-time

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving you

Sr. Machine Learning Engineering Manager

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

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 Manager / 3D Virtual Assets / Foster City, CA

Motion Recruitment Partners, LLC

Foster City, California, USA

Full-time

Our client is an AI Virtual Assets & Gaming company enabling next-gen digital experiences through user-generated content. Their tech stack empowers creators to build customizable AI 3D models and take park in immersive experiences across multiple platforms. They're backed by substantial funding and having established valuable partnerships and branding relationships. Based in Los Angeles, CA, they are looking for someone who is willing to come to Hybrid 3 days a week. They're hiring a Machine Lea

Machine Learning Manger / 3D Virtual Assets / Los Angeles, CA

Motion Recruitment Partners, LLC

Los Angeles, California, USA

Full-time

Our client is an AI Virtual Assets & Gaming company enabling next-gen digital experiences through user-generated content. Their tech stack empowers creators to build customizable AI 3D models and take park in immersive experiences across multiple platforms. They're backed by substantial funding and having established valuable partnerships and branding relationships. Based in Los Angeles, CA, they are looking for someone who is willing to come to Hybrid 3 days a week. They're hiring a Machine Lea

Senior Machine Learning Engineering Manager

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

Engineering Manager, Machine Learning / Los Angeles On-site / Full-time

Motion Recruitment Partners, LLC

Los Angeles, California, USA

Full-time

Job Description We're hiring a full-time Engineering Manager, Machine Learning to join the Los Angeles team, with flexibility for hybrid work. The company is redefining digital expression through cutting-edge AI avatars and game technologies, powering immersive, UGC-driven virtual experiences. The company's mission is simple but ambitious: empower anyone to create anything, and make sure it all works seamlessly together. At the heart of the platform is a proprietary avatar framework that fuses

Head of AI ML Platform Engineering

Guardian Life Insurance Company

Remote or New York, New York, USA

Full-time

Company Overview Every day, Guardian gives 27 million people the security they deserve through our insurance and wealth management products and services. Since our founding in 1860, our long-term view has helped our customers prepare for whatever life brings whether starting a family, planning for the future, or taking care of employees. Today we're a Fortune 250 company and a leading provider of life, disability and other benefits for individuals, at the workplace and through government sponsor

Manager Machine Learning, Merchandising & Content Understanding

Netflix, Inc.

Los Gatos, California, USA

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

Engineering Manager, Machine Learning / Full-time / Los Angeles based

Motion Recruitment Partners, LLC

Los Angeles, California, USA

Full-time

Job Description This is a full-time position based in Los Angeles, with flexibility for hybrid work. You'll be joining a trailblazing AI avatar and games technology company powering the next generation of digital experiences through user-generated content (UGC) and immersive AI-powered worlds. The company is building a creative engine for digital expression where "anyone can create anything" and "everything works with everything." Their proprietary avatar framework leverages machine learning,

Machine Learning Scientist (L5) - Ads

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. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their con

Machine Learning Scientist Intern (TikTok-Recommendation-Live) - 2025 Fall (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A151827 Apply to this job Share this listing: Responsibilities About the Team Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are looking for talen

Machine Learning Scientist Intern (TikTok-Data-Plus) - 2025 Fall (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A60146B Apply to this job Share this listing: Responsibilities About the Team Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are looking for talen

Machine Learning Scientist Graduate (TikTok Recommendation-E-commerce) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A26824 Apply to this job Share this listing: Responsibilities TikTok E-commerce is committed to building a global commerce ecosystem where content and commerce are deeply integrated, delivering a next-generation shopping experience to users. Our Recommendation team plays a critical role in enabling personalized and engaging user journeys by leveraging cutting-edge machine learning technologies. In today's content-driven commerce lan

Product Development with AI/ML

MSRCosmos

San Jose, California, USA

Full-time, Contract, Third Party

Position: Product Development with AI/ML Location: San Jose CA -Onsite (Can consider remote) Type: Contract Qualifications Experience working on large feed products, especially in improving feed quality 5+ Experience in Product management. Prior experience with AI/ML is a must Experience dealing with trade offs between quality, diversity and other topline metrics Ability to deep dive into technical details of ML systems with engineers, and metrics with the Data Science team Experience dealing

Director of Machine Learning

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 Scientist Intern (TikTok-Recommendation-Responsible AI) - 2025 Fall (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A64885 Apply to this job Share this listing: Responsibilities About the Team Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. We are looking for talent

SAP Ariba iXp Intern - AI Machine Learning

SAP Americas, Inc.

Palo Alto, California, USA

Full-time

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your i

Member of Technical Staff - Machine Learning, AI Safety

Microsoft Corporation

Mountain View, California, USA

Full-time

Overview As a Member of Technical Staff - Machine Learning, AI Safety, you will work on the Technical Safety Squad to ensure that Copilot's messages comply with content policies and the larger values of the organization. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques for safety post-training, or training content classifiers to support the Copilot experience. We're looking for someone with experience in artificial intelligence, b

Director, Machine Learning

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