machine learning engineer Jobs in san jose, ca

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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 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

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 TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for

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

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 Graduate (Location Based Service) - 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A184655 Apply to this job Share this listing: Responsibilities TikTok Location Team's goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availa

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 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help im

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A192273 Apply to this job Share this listing: Responsibilities The TikTok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads-both open-loop and closed-loop-to establish TikTok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad re

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

Machine Learning Engineer, TikTok Ads Core Global - Traffic & Strategy

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A70821 Apply to this job Share this listing: Responsibilities TikTok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel. Ads Core Traffic Strategy & User Experience team is essential to TikTok's success, our work focuses are: -

Machine Learning Engineer(NLP/CV/Multimodal), TikTok E-commerce Knowledge Graph

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A226722 Apply to this job Share this listing: Responsibilities Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce bu

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A174931 Apply to this job Share this listing: Responsibilities Team Introduction: The E-Commerce Risk Control (ECRC) team's mission is : - To protect TikTok e-commerce users, including and beyond buyer, seller, creator; - To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; - Through bui

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A111162 Apply to this job Share this listing: Responsibilities The TikTok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads-both open-loop and closed-loop-to establish TikTok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad r

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A125623 Apply to this job Share this listing: Responsibilities The TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A203629A 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 oppor