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Machine Learning Engineer Intern (TikTok TV) - 2025 Project intern (BS/MS)

AT TikTok
TikTok

Machine Learning Engineer Intern (TikTok TV) - 2025 Project intern (BS/MS)

San Jose, CA

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

The mission of our PGC TV Algo team is to push next-generation machine learning algorithms for the TV recommendation system in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for interns to join our team to support and advance that mission.

TikTok TV team leads product and growth initiatives for TikTok TV app on all TV platforms with a data-driven and results-focused engineering and product mindset. We are seeking talented individuals who enjoy the intersection of machine learning, product, data, and engineering to help us reach the next milestone of billions of users.

In the PGC, TikTok TV algo team, you'll have the opportunity to build and optimize TikTok TV recommendation algorithm on all TV platforms to bring joys to our users in all scenes. PGC TV algo team allows you to get a first look at state-of-the-art machine learning technologies the most innovative organizations are using and be able to contribute based on that. At Tiktok TV, we encounter a diversity of technical challenges, i.e. build specialized recommendation algorithms, high quality content pools for TV, ensure ML system stability, etc.

We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. This Internship Program runs for 10-24 weeks.

Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.

Responsibilities
- Responsible for using cutting edge ML algorithms to improve TV core metrics.
- Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.
- Participate in building/analyzing data for various TV markets such as US/EU to identify potential TV algo issues, building large-scale ML algorithm/feature sequence models to support business scenarios such as content understanding, multimodal representation, and solving problems related to TV products.
- Explore and research cutting-edge technologies in machine learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

Minimum Qualifications:
• Currently pursuing an Undergraduate/Master/PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Be able to work onsite for at least 12 weeks
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Good sense of teamwork and communication skills, practical experience in ML business scenarios is preferred.
• Published papers in high-level computer science conferences (ICML, KDD, EMNLP, NIPS, AAAI, etc.) or have competition experience is preferred.

Preferred Qualifications
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Familiar with the application of related algorithms in data mining, feed recommendation, content understanding is preferred.
• Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Client-provided location(s): San Jose, CA, USA
Job ID: TikTok-7426549844921469235
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Company Equity
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Mentor Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

Company Videos

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