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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

Machine Learning Engineer - GenAI Post Train, Monetization Generative AI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A250440 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 - 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

Senior Machine Learning Engineer - Applied AI TikTok Monetization GenAI

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : O2543 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 leverag

Machine Learning Engineer Intern (TikTok-Recommendation) - 2025 Fall (Master)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A239688 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

Member of Technical Staff, Machine Learning Engineer

Microsoft Corporation

Mountain View, California, USA

Full-time

Overview: As a Member of Technical Staff - Machine Learning, you will work on the AIPA Platform squad to ensure correct and accurate functionality of Copilot. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques for prompt engineering and fine tuning, or training content classifiers to support the Copilot experience. We're looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong com

Senior Machine Learning Engineer - TikTok E-commerce Global Supply Chain and Logistics

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A125967 Apply to this job Share this listing: Responsibilities About the team! The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This po

Senior Machine Learning Engineer, TikTok Ads Creative & Ecosystem

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : B1101 Apply to this job Share this listing: Responsibilities A "creative" is the ad (in the form of a short-form video) served to TikTok users, composed of video, background music, call-to-action card, post-click landing page, and other formats that get delivered to users. A quote goes "creativity is the soul of advertising", because a good ad creative is effective, yet difficult to produce, especially at the scale of TikTok adverti

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

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

Internship, Software Machine Learning Engineer, Reliability Energy Engineering (Fall 2025)

Tesla Motors

Palo Alto, California, USA

Full-time

Consider before submitting an application: This position is expected to start September 2025 and continue through the entire Fall term (i.e. through Decemberr 2025) or into Winter/Spring 2026 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many stud

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

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

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 - 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