Staff Research Scientist/Engineer, Recommendation Systems jobs in United States
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ByteDance · 6 months ago

Staff Research Scientist/Engineer, Recommendation Systems

ByteDance is a rapidly growing tech company known for its innovative products like TikTok and Douyin. The Staff Research Scientist/Engineer will drive innovation in recommendation systems, focusing on building and scaling machine learning models and collaborating across teams to enhance user experience.

ContentData MiningFoundational AIInternetSocial Media
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Build and scale up machine learning models for recommendation systems
Research and apply multi-modal techniques (leveraging text, image, video) to create a holistic understanding of content and user preferences
Pioneer new modeling strategies by researching and integrating long-term user behavior signals to drive sustained engagement and satisfaction, by using techniques such as reinforcement learning
Partner closely with the infrastructure team to co-design and optimize next-generation recommendation model architectures and systems, ensuring high-performance, low-latency, and cost-efficient training and inference at a massive scale
Work hand-in-hand with product, engineering, and design teams to rigorously test and deploy end-to-end solutions, validating their impact and ensuring they create a seamless and enhanced user experience

Qualification

Machine Learning ModelsDeep Learning TechniquesEnd-to-End ML PipelinesPythonC++PyTorchTensorFlowReinforcement LearningTransformersLarge Language ModelsMulti-modal LearningResearch Publications

Required

A Bachelor's degree in Computer Science, Computer Engineering, or a related technical field is required
At least 5 years of experience in proficiency in one or more programming languages such as Python or C++, and deep learning frameworks like PyTorch or TensorFlow
Demonstrated expertise in designing, building, and scaling machine learning models for recommendation systems
Deep understanding and hands-on experience with modern deep learning techniques, including Transformers, Large Language Models (LLMs), and multi-modal learning
Proven experience in building and deploying end-to-end ML pipelines in a production environment

Preferred

A Ph.D. in a relevant field is highly preferred
A track record of publications in top-tier, peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys, WWW) is a strong plus

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Company

ByteDance

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ByteDance is a technology company that develops content creation platforms and services.

H1B Sponsorship

ByteDance has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1350)
2024 (1123)
2023 (775)
2022 (487)
2021 (417)
2020 (245)

Funding

Current Stage
Late Stage
Total Funding
$9.8B
Key Investors
Capital TodayG42Tiger Global Management
2025-11-20Secondary Market· $300M
2024-07-25Secondary Market
2023-03-14Secondary Market· $100M

Leadership Team

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Jochen Bischoff
Head of Global Business Solutions - Africa
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Matty Lin
General Manager, Global Business Solutions, KR
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Company data provided by crunchbase