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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: Strong knowledge in App Ads business, delivering revenue growth through e2e ML including advanced machine learning, and developing 0->1 products. (ref. code REQ-2506-152670: $199,170/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not

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

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A01711 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: -

Tech Lead, Senior Machine Learning Engineer - TikTok Search Algorithms (NLP, Ranking, Relevance, Understanding, User Engagement)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : L4637 Apply to this job Share this listing: Responsibilities About the Team On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a cu

Tech Lead, Senior Machine Learning Engineer - TikTok Search Algorithms (NLP, Ranking, Relevance, Understanding, User Engagement)

TikTok

Seattle, Washington, USA

Full-time

Location : Seattle Employment Type : Regular Job Code : A240179 Apply to this job Share this listing: Responsibilities On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-

Senior Machine Learning Manager - Ads Campaign Optimization

Apple, Inc.

No location provided

Full-time

At Apple, we strive every day to create products that enrich people's lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking an adventurous and strategic leader to drive innovation in Ads Campaign Optimization.

Machine Learning Engineer

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 Machine Learning Engineer: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. (ref. code REQ-2505-151106: $187974/year - $200200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and d

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

TikTok

Seattle, Washington, USA

Full-time

Location : Seattle Employment Type : Regular Job Code : A248224 Apply to this job Share this listing: Responsibilities Team Introduction: 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-c

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-2507-152806: $230,400/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

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-2502-147619: $195,413/year to $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

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

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-2506-152698: $192,927/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary

Machine Learning Engineer, Multimodality

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A231445 Apply to this job Share this listing: Responsibilities We use an AIlarge model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial pro

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-2507-152830: $264,014/year - $290,180/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base sala

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

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-2507-152737: $214,032/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salar

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-2507-152810 Wage Range: $214,032/year to $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the

Machine Learning Engineer Intern (Training Pre-processing) - 2025 Summer (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A38464 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 t

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, Risk Data Mining - USDS

TikTok

Seattle, Washington, USA

Full-time

Location : Seattle Employment Type : Regular Job Code : O2360 Apply to this job Share this listing: Responsibilities The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works

Machine Learning Engineer, Risk Data Mining - USDS

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : J6XR2 Apply to this job Share this listing: Responsibilities The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team work