TikTok
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Machine Learning Engineer Graduate (Recommendations - USDS) - 2025 Start (MS)

Job details

Job description

Responsibilities

About the team

We are a group of applied machine learning engineers and data scientists that focus on general feed recommendations and E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems.

What You Will Do

  • Participate in building large-scale (10 million to 100 million) recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
  • Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
  • Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
  • Design and build supporting/debugging tools as needed.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time

QualificationsMinimum Qualifications

  • PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
  • Experience in machine learning, deep learning, data mining, or artificial intelligence.
  • Proficient in programming languages such as Python, C++, Java, or similar.

Preferred Qualifications

  • Deep understanding of recommendation algorithms and personalization systems.
  • Excellent problem-solving and analytical skills.
  • Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.
  • Experience with reinforcement learning techniques.
  • Proven modeling/algorithms competition records on Kaggle or top conferences’ challenges.
  • Proven programming competition records on ICPC, IOI or USACO.
  • Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.
  • Publications in machine learning or related conferences or journals are highly desirable.

About the company

Job Location

Seattle, WA

Company Size

10,001+

Our Story

TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.

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