Tiktok - San Jose, CA

posted 27 days ago

Full-time - Intern
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, with a mission to inspire creativity and bring joy. The company has global offices in major cities around the world, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo. The core of TikTok's purpose is creation, and the platform is designed to help imaginations thrive. This ethos extends to the teams that make TikTok possible, where every challenge is viewed as an opportunity to learn, innovate, and grow together. TikTok fosters a culture of collaboration and courage, driving impact for the company and the communities it serves. The Machine Learning Engineer Intern position is part of a team focused on enhancing core feed recommendation algorithms. This involves optimizing ranking models, multi-objective fusion, and exploring content diversity and user interests. Interns will work on fine-tuning large-scale recommendation models, tackling complex optimization problems, and integrating computer vision and natural language processing algorithms into recommendation systems. Research directions include multitask learning, generative retrieval, sequence modeling, retrieval-augmented large models, learning to rank, uplift modeling, and model quantization. Internships at TikTok are designed to provide students with industry exposure and hands-on experience, allowing them to turn their ambitions into reality. The internship program runs for 10-24 weeks, and candidates can apply for both Off-cycle Intern and Program Intern positions. Applications are reviewed on a rolling basis, and candidates are encouraged to apply early. The internship offers a unique opportunity to contribute to TikTok's mission while gaining valuable experience in the tech industry.

Responsibilities

  • Build industry-leading recommendation system, improving user experience, content ecosystem and platform security.
  • Deliver end-to-end machine learning solution to address critical product challenges.
  • Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
  • Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Requirements

  • Master degree or above in computer science or a related major
  • Strong software development experience with C++, Python or other programming language
  • Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product
  • Must obtain work authorization in 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 one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
  • Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
  • Strong communication and teamwork skills
  • Passion about techniques and solving challenging problems.

Benefits

  • Hourly rate range of $74
  • 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire
  • Paid holidays
  • Paid sick leave
  • Mental and emotional health benefits through Employee Assistance Program
  • Reimbursements for mobile phone expenses
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service