ML Engineer Jobs in San Jose, CA

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Machine Learning Engineer Intern (FeatureStore) - 2025 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A104762A 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 i

Machine Learning Engineer Graduate (Search E-Commerce) - 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A90192 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 expe

Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A144681 Apply to this job Share this listing: Responsibilities Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth oppor

Tech Lead Machine Learning Engineer - AIModel, TikTok Monetization GenAI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A138054 Apply to this job Share this listing: Responsibilities We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by lever

Machine Learning Engineer Graduate (Recommendations, USDS) - 2025 Start (MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A257487A 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 feed recommendations and E-commerce recommendations. 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

Tech Lead Machine Learning Engineer - Platform, Monetization Generative AI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A196455 Apply to this job Share this listing: Responsibilities About the Generative AI Production Team The Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal application

Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : J588V Apply to this job Share this listing: Responsibilities About the Team The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology: - Combat any kinds of risks/violations issues in E-commerce scenarios. - Build an E-commerce ecosystem and improve platform service capabilities Responsibilities: - Responsible for identi

Senior Machine Learning Engineer - GenAI Post Train, Monetization Generative AI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A190778 Apply to this job Share this listing: Responsibilities About the Generative AI Production Team The Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal application

Machine Learning Engineer - CV/Multimodal (TikTok Global E-commerce Supply Chain Team)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A235278 Apply to this job Share this listing: Responsibilities Data-E-commerce-Global Supply Chain team: Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, computer vision, multimodal, operations research, data mining, and causal inference methods. We are seeking an exceptional

Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A151214 Apply to this job Share this listing: Responsibilities Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opport

Tech Lead Machine Learning Engineer - Applied AI TikTok Monetization GenAI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A220606 Apply to this job Share this listing: Responsibilities We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by lever

Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A193228 Apply to this job Share this listing: Responsibilities Team Introduction: The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at sell

Sr. Machine Learning Engineer / GenAI Architect -- 100% REMOTE

Excellerent Technology Solutions

Remote

Third Party, Contract

As a Sr. Machine Learning Engineer on our GenAI applications team, lead development of innovative generative AI products Client need folks who have and can write production level code. 80% coding Individual Contributor role. Required Skills and Qualifications: Minimum of seven years post-secondary education or relevant work experienceBachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.Minimum of five years software develo

Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A215342 Apply to this job Share this listing: Responsibilities Team Introduction: The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at sell

Staff 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,

ML Engineer Graduate, TikTok E-commerce Recommendation- 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A100328 Apply to this job Share this listing: Responsibilities Interest-based E-commerce is a new and fast growing business that aims at connecting all customers' interests to excellent sellers and high quality products on TikTok Shop. Different from other traditional E-commerce platforms, Tiktok Shop provides customers with personalized and unique shopping experience through E-commerce live-streaming and E-commerce short videos. Th

Machine Learning Engineer Graduate (Search Ads) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A94564 Apply to this job Share this listing: Responsibilities The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be

Machine Learning Engineer Intern (Training Pre-processing) - 2025 Summer (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A250151 Apply to this job Share this listing: Responsibilities Team Introduction: The TikTok Flink Ecosystem Team plays a critical role in delivering real-time computing capabilities to power TikTok's massive-scale recommendation, search, and advertising systems. This team is focused on building the infrastructure for stream processing at exabyte scale - enabling ultra-low-latency, high-reliability, and cost-efficient real-time data

Machine Learning Engineer Intern (Search Ads) - 2025 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A258621 Apply to this job Share this listing: Responsibilities The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be

Tech Lead Machine Learning Engineer - GenAI Post Train, Monetization Generative AI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A146189 Apply to this job Share this listing: Responsibilities About the Generative AI Production Team The Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal application