Machine Learning Scientist Graduate (TikTok Recommendation) - 2024 Start (PhD)

$126,000 - $221,760/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The Recommendation Algorithm Team plays a central role in the company, driving critical product decisions and platform growth. This team is composed of machine learning researchers and engineers who support and innovate on production recommendation models, ultimately driving product impact. The environment is fast-paced, collaborative, and focused on making a significant impact. As a Machine Learning Scientist Graduate, you will be responsible for building industry-leading recommendation systems that enhance user experience, improve the content ecosystem, and ensure platform security. You will deliver end-to-end machine learning solutions to tackle critical product challenges and own the full stack machine learning system, optimizing algorithms and infrastructure to enhance recommendation performance. Collaboration with cross-functional teams will be essential as you design product strategies and build solutions to expand TikTok's reach in important markets. This role offers unparalleled opportunities for recent graduates to kickstart their careers, pursue bold ideas, and explore limitless growth opportunities. Successful candidates must be able to commit to one of several start dates in 2024, and we encourage early applications as we review them on a rolling basis.

Responsibilities

• Build industry-leading recommendation system, improving user experience, content ecosystem and platform security.
• Deliver end-to-end machine learning solution to address critical product challenges.
• Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
• Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Requirements

• PhD degree with a background in computer science, machine learning, or similar fields.
• Good knowledge of theoretical and empirical research in addressing research problems.
• Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.

Nice-to-haves

• 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.
• Strong first-author publications record in top AI conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.).
• Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design.
• Internship experience in an AI research organization.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through our EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.