Machine Learning Engineer, TikTok Live Stream

$126,000 - $221,760/Yr

Tiktok - San Jose, CA

Full-time - Mid 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. As a Machine Learning Engineer for TikTok's Live Stream team, you will play a pivotal role in developing and optimizing the recommendation algorithms that enhance user engagement and satisfaction within our live streaming platform. This position is integral to our commitment to providing a world-class experience for our users and creators alike. In this role, you will participate in the recommendation algorithm of the live streaming business, contributing to a large-scale recommendation system that serves millions of users. You will be responsible for optimizing core algorithms and strategies, including recall, coarse ranking, fine ranking, mixed ranking, and diversity. Utilizing advanced modeling technologies such as deep learning, representation learning, multi-task learning, causal inference, and sequence modeling, you will ensure that every user finds relevant creators and enjoys the fun of live streaming. Your work will not only focus on technical optimization but also on understanding the ecological roles of users and creators within the platform. By driving healthy growth in user experience, creator growth, and platform revenue, you will help create a virtuous cycle within the livestream ecosystem. Collaboration with product and operations teams will be essential as you integrate technological innovations with business characteristics to achieve both long-term and short-term business development goals.

Responsibilities

• Participate in the recommendation algorithm of the live streaming business and contribute to a world-class large scale recommendation system.
• Optimize core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, etc.) using modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling.
• Continuously improve recommendation technology with a deep understanding of the ecological roles of users and creators, driving healthy growth in user experience, creator growth, and platform revenue.
• Work closely with product and operations teams to excel in technological innovation and help achieve long-term and short-term business development goals.

Requirements

• Solid programming foundation with good programming style and work habits.
• Strong theoretical foundation and extensive practical experience in machine learning/deep learning, familiar with at least one mainstream deep learning framework.
• Exceptional ability to analyze and solve problems, with a passion for tackling challenging issues.
• Good communication skills, proactive work ethic, strong sense of responsibility, and good teamwork skills.
• Priority given to individuals with published papers at top conferences, competition wins (e.g., ACM/machine learning), or experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines.

Nice-to-haves

• Experience with large-scale recommendation systems.
• Familiarity with computational advertising and search engines.
• Participation in machine learning competitions.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) 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 EAP and Lyra.
• 401K company match, gym, and cellphone service reimbursements.