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(General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) image - Rise Careers
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(General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD)

ResponsibilitiesTikTok 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 UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.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 strong research scientist 2025 Graduates , who are excited about growing their business understanding, building scalable and high-performance models and systems, and partnering across disciplines with global teams, in pursuit of excellence.Responsibilities1. Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;2. Deliver end-to-end machine learning solution to address critical product challenges;3. Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.4. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications:1. PhD degree or equivalent degree with a background in computer science, machine learning, or similar fields.2. Good knowledge of theoretical and empirical research in addressing research problems3. Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architecturesPreferred Qualifications:1. Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.2. Strong first-author publications record in top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.)3. Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.4. Internship experience in an AI research organizationTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
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CEO of TikTok
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Shou Zi Chew
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Our mission is to inspire creativity and bring joy.

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BADGES
Badge Flexible CultureBadge Future MakerBadge Global CitizenBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Take Risks
Casual Dress Code
Startup Mindset
Emails over Meetings
Collaboration over Competition
Fast-Paced
Growth & Learning
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Mixe-Ability Accomodations
Work Visa Sponsorship
Commuter Benefits
Employee Resource Groups
Performance Bonus
Health Savings Account (HSA)
Flexible Spending Account (FSA)
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
September 7, 2024

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