Machine Learning Engineer, Risk Data Mining Jobs in California

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Data Scientist - Generative AI/ML/Databricks - Remote

Molina Healthcare

Remote or Long Beach, California, USA

Full-time

Job Description Job Description Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI t

Staff Software Engineer, Machine Learning

Discord Inc.

Remote or San Francisco, California, USA

Full-time

Discord is used by over 200 million people every month for many different reasons, but there's one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We're currently l

Member of Technical Staff - Machine Learning

Microsoft Corporation

Mountain View, California, USA

Full-time

Overview As a Member of Technical Staff - Machine Learning, you will work to create new agentive AI experiences in Copilot. You may be responsible for developing new methods to train agentive LLM capabilities, evaluating LLMs, or creating new user-facing features in Copilot. You should be comfortable with reinforcement learning, fine tuning, or training classifiers to support the Copilot experience. We're looking for someone with experience in machine learning, software engineering, as well as

Staff ML Systems Engineer

General Motors

Mountain View, California, USA

Full-time

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to offices in Austin, TX, Mountain View, CA or the Greater Seattle Area three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role As an engineer on this team, you will be responsible for building and supporting a petabyte-scale data platform in the cloud and providing powerful foundations for GM ML Data Platform tools, frameworks, and se

Senior Machine Learning Infrastructure Engineer - DGX Cloud

NVIDIA Corporation

Remote or Santa Clara, California, USA

Full-time

NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, knowledge of datacenter hardware, operations, and networking, familiarity with software testing and deployment, familiarity with distributed systems, and excellent communication and planning abilities. We also welcome out-of-the-box thinkers who can provide new ideas with a strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You and o

Staff Machine Learning Engineer - Marketplace Signals

Uber Corporate

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 Software Developer AI/Machine Learning- Remote

ICF

Remote or Reston, Virginia, USA

Full-time

*We are open to supporting 100% remote work anywhere within the US* We are seeking an experienced software developer who is passionate about artificial intelligence, machine learning, and large language models. As a software developer, you will be responsible for designing and implementing innovative solutions that address complex problems using cutting-edge technologies. You will work with a team of experts in AI, machine learning, and natural language processing to develop and implement solut

Senior Machine Learning Engineer (Modeler), Advanced Insights and Modeling

Block Inc

California, USA

Full-time

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture

Machine Learning Engineer - Trust and Safety

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : JTGF1 Apply to this job Share this listing: Responsibilities Our Trust and Safety engineering team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the t

Machine Learning Engineer (L5) - Content & Media ML Foundations

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 Content & Media ML Foundations team within Data Science and Engineering, builds and delivers high-leverage foundational ML solutions using Netflix's unique media da

Software Engineer Graduate (Ads ML Infrastructure) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A129705 Apply to this job Share this listing: Responsibilities About the team The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building

Sr. Machine Learning Engineer

S&P Consultants

Remote or Princeton, New Jersey, USA

Full-time

About the Role: Grade Level (for internal use): 10 About the Role: We are seeking a Sr. Machine Learning and MLOps Engineering focused on Generative AI to join our ML team within the Data Science Center of Excellence at S&P Global. In this role, you will lead engineering activities to build production-grade generative AI solutions and play a pivotal role in implementing machine learning engineering operations to ensure seamless deployment, monitoring, and management of our machine learning mo

Sr. Staff Machine Learning Engineer, Homefeed

Pinterest, Inc.

Remote or San Francisco, California, USA

Full-time

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility

AI/ML Compile Devolpement Engineer

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

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A104605 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

Senior Applied Machine Learning Scientist - Recommendations

Grainger

Remote or Lake Forest, Illinois, USA

Full-time

Work Location Type: Hybrid About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two busines

Director, AI/ML Engineering - 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 Data Scientist - Generative AI/ML/Databricks - Remote

Molina Healthcare

Remote or Long Beach, California, USA

Full-time

Job Description Job Description Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI t

Machine Learning Scientist- LLM/AI (Privacy and Data Protection Office) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A225997C Apply to this job Share this listing: Responsibilities About the team PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our us

Engineer Graduate: (Machine Learning Engineer - Local Services Search) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A157562 Apply to this job Share this listing: Responsibilities We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and grad