machine learning Jobs in sunnyvale%2c ca

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Machine Learning Engineer, Efficiency Engineering - USDS

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A87619 Apply to this job Share this listing: Responsibilities The Efficiency Engineering team is all about our passion for crafting innovative tools and applications that empower IT operations and devops teams to achieve new levels of efficiency. We're a tight-knit crew of experienced developers, engineers and problem solvers fueled by a shared vision: streamlining operations, reducing manual workload, and empowering teams to do the

Software Engineer - Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Sunnyvale, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Sunnyvale, CA Software Engineer - Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2505-150901: $185,644/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Sunnyvale, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Sunnyvale, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2505-151087: $217,528/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Director of Machine Learning - TikTok Trust & Safety

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A166197A Apply to this job Share this listing: Responsibilities Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data gener

Machine Learning Engineer (Operations)

ATA ANALYTIQ LLC

South San Francisco, California, USA

Full-time, Third Party

Job Title: Machine Learning Engineer (Operations) Location: South San Franciso CA (Hybrid, 3 days/week) Job Duration: Long Term Job Description: Strong understanding of machine learning concepts, algorithms, and best practices.Proven experience in creating, managing, and deploying ML models using core AWS services such as Amazon SageMaker (for model building, training, and deployment), EC2 (for compute instances), S3 (for data storage), and Lambda (for serverless functions).Experience with AWS T

Machine Learning Scientist

Snowflake Inc.

Dublin, California, USA

Full-time

Where Data Does More. Join the Snowflake team. There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the chal

Research Scientist, Multimodal Machine Learning - Trust and Safety

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A212070 Apply to this job Share this listing: Responsibilities Our Trust and Safety RD 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 tremendo

Machine Learning Engineer - Marketplace Growth (TikTok Global E-commerce Supply Chain and Logistics)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A165330 Apply to this job Share this listing: Responsibilities About the team! The E-Commerce Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods. Role Overview: We are seeking a t

Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A97407 Apply to this job Share this listing: Responsibilities Data-E-commerce-Global Supply Chain and Logistics team: Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods. At TikTok, we are building a glo

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2507-152849: $222,489/year $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary o

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2507-153158: $229,501/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2507-153155: $222,772/year - $240,240/year) Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2506-152501: $185,644/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer (Machine Learning)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer (Machine Learning): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. . (ref. code REQ-2507-152934: $214,032/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sal

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2505-150952: $224,197/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Menlo Park, California, USA

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Menlo Park, CA Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2507-153167: $185,644/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

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

AI and ML Infra Software Engineer, GPU Clusters

NVIDIA Corporation

Santa Clara, California, USA

Full-time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Senior Machine Learning Engineer, Content Safety & Ecosystem - Personalization

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A212771A Apply to this job Share this listing: Responsibilities About the Team The Responsible Recommendation System team innovates in content understanding and recommendation system techniques to improve TikTok content safety and ecosystem. We leverage advanced personalization models to develop robust, scalable solutions that safeguard user experience and drive product impact. Responsibilities - Develop and enhance personalization

Principal AI/ML Engineer - Onboard 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: As a Technical Lead in Machine Learning within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting