Machine Learning Engineer Graduate (Recommendation) - 2027 Start (PhD)

About the TikTok Data Team

Our TikTok Data Team focuses on creating advanced machine learning models and methodologies to elevate the user experience, foster creativity, and cultivate a balanced and thriving ecosystem.

Role Overview

We are seeking enthusiastic graduates to join our team, offering the chance to explore innovative ideas, address complex problems, and achieve substantial professional growth. Successful applicants must be available to onboard by year's end, with availability and graduation dates clearly indicated in their resumés.

Responsibilities

• Develop cutting-edge recommendation systems and scalable classifiers utilizing machine learning techniques.
• Analyze product goals and apply ML strategies to enhance models and recommendation approaches.
• Study user behavior to optimize content consumption and creation using ML algorithms.
• Incorporate machine learning into content security efforts to enhance auditing processes.
• Collaborate with cross-departmental teams to expand the company’s offerings in key regional sectors.

Minimum Qualifications

• Candidates should be completing or have recently completed a PhD in computer science or a related field.
• Strong foundation in data structures and algorithms.
• Proficiency in software development, demonstrated through practical programming experience.
• Excellent communication skills and a team-oriented mindset.
• A passion for technology and tackling challenging problems.

Preferred Qualifications

• Experience in at least one of these domains: machine learning, recommendation systems, data mining, or associated fields.

About TikTok

TikTok is a premier platform for short-form mobile videos with a mission to inspire creativity and bring joy. With headquarters in Los Angeles and Singapore and offices worldwide, we cultivate a dynamic environment where creativity and innovation flourish.

Why Work With Us

Creativity is central to TikTok’s ethos, enabling authentic expression and global connection. Our diverse teams drive innovation daily, fostering a culture of curiosity, humility, and resilience. Embracing challenges as growth opportunities, we maintain an "Always Day 1" mindset to deliver meaningful impact to our users and communities.

Diversity & Inclusion

We are committed to an inclusive workplace where diverse skills and perspectives thrive. Our global platform reflects and connects various communities, and we celebrate the voices that help us inspire creativity and joy worldwide.