[Remote] Machine Learning Engineer Intern (Privacy and Data Protection Office) - 2026 Start (PhD)

Note: The job is a remote job and is open to candidates in USA. TikTok is the leading destination for short-form mobile video. They are looking for a Machine Learning Engineer Intern to lead and collaborate with cross-functional teams to design, develop, and deploy machine learning algorithms, focusing on enhancing privacy and data protection.

Responsibilities

• The Machine Learning Engineer Intern will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems
• Formulate end-to-end machine learning models by utilizing ML, NLP techniques to deal with real-world signals generated from privacy products/ incidents/ review areas
• Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making
• Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction
• Communicate final recommendations and drive decision making
• Utilize data-driven techniques in building solutions to help measure, validate, identify, and envision TikTok's privacy evolution
• Design and scope out projects, build operationalized analytics tools and platforms, and most importantly, use data and AI models to find insights, diagnose problems and tell compelling stories
• Work closely with various XFN teams, including but not limited to engineering, legal, audit, security, public, government relations, and products
• Build deep domain knowledge and build a strong domain expertise in privacy

Skills

• Master's or PhD in Computer Science, Finance, Mathematics, Statistics, Operations Research or other related field
• Solid background in NLP and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
• Experience with at least one programming language (i.e. Python, R, Java, or C++)
• Experience writing SQL queries
• Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
• Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
• Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
• Experience with machine learning libraries and deep learning toolkits such as PyTorch, Caffe2, TensorFlow, Keras or Theano
• Experience with Large Language Model is a plus

Benefits

• Interns have day one access to health insurance
• Life insurance
• Wellbeing benefits and more
• Interns also receive 10 paid holidays per year
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
• Interns who are not working 100% remote may also be eligible for housing allowance

Company Overview

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