Machine Learning Engineer Intern (TikTok-Data-E-Commerce) - 2024 Start (MS/Phd)

$118,040 - $118,040/Yr

Tiktok - Seattle, WA

Full-time - Intern

Seattle, WA

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 part of our commitment to this mission, we are excited to offer an internship opportunity for a Machine Learning Engineer Intern in our E-commerce division. This internship is designed for students pursuing a Master's or PhD degree, providing them with industry exposure and hands-on experience in a fast-paced environment. The internship will run for 10-24 weeks, starting in May 2024, and will focus on building large-scale e-commerce recommendation algorithms and systems. The E-commerce team at TikTok is dedicated to connecting customers with excellent sellers and quality products through innovative solutions such as live-streaming and short video recommendations. As an intern, you will work alongside a team of applied machine learning engineers and data scientists, developing algorithms that enhance user engagement and satisfaction. You will have the opportunity to analyze large datasets, design predictive models, and contribute to the development of real-time data pipelines. This role is not just about technical skills; it’s about turning creative ideas into impactful business solutions. We are looking for talented individuals who are eager to learn and grow within a collaborative environment. At TikTok, we believe that every challenge is an opportunity to innovate and improve. Interns will be encouraged to bring their unique perspectives and ideas to the table, contributing to our mission of inspiring creativity and bringing joy to our users. This internship program is competitive, and applications will be reviewed on a rolling basis. We encourage candidates to apply early and to consider applying for multiple positions within TikTok and its affiliates. Join us at TikTok, where we create together and grow together, driving impact for ourselves, our company, and the communities we serve.

Responsibilities

• Participate in building large-scale e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
• 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, including building real-time data pipelines, feature engineering, model optimization, and innovation.

Requirements

• Currently pursuing a Master's degree or PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid knowledge in machine learning, deep learning, data mining, or large-scale systems.
• Experience with at least one programming language like C++ or Python.
• Experience in Deep Learning Tools such as TensorFlow or PyTorch.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Nice-to-haves

• Graduating December 2024 onwards with intent to return to degree program after the completion of the internship.
• Familiar with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep.
• Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup.

Benefits

• Hourly rate of $56.75 for the internship position.
• 100% premium coverage for full-time intern medical insurance after 90 days from the date of hire.
• Paid holidays and paid sick leave, with sick leave entitlement based on the time of joining.
• Mental and emotional health benefits through the Employee Assistance Program.
• Reimbursements for mobile phone expenses.