Machine Learning Engineer Intern (Tiktok Video Recommendation) - 2024 Summer (Phd)

Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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.
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.
Team Introduction
We are a pioneering Machine Learning team at TikTok, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience, an avenue that our organization sees as a very promising future direction. Our team culture cherishes the "First Principles Thinking" approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.
Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12-24 weeks and begins in May/June 2024.
Successful candidates must be able to commit to one of the following start dates below:
1.May 20, 2024
2.May 28, 2024
3.June 10, 2024
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

• Understand and optimize TikTok's industry-leading recommendation system.
• Deploy, prompt, and fine-tune cutting-edge foundation models.
• Apply foundation models to enhance TikTok's recommendation system and product offerings, improving the experience of billion-scale consumers and creators.
• Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine Machine Learning algorithms, and communicate results.
• Regularly run A/B tests, perform analyses, and iterate algorithms based on results.
• Work with infrastructure teams on improving the efficiency and stability of Machine Learning systems.

Qualifications

• Currently pursuing a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Able to commit to working for 12 weeks during Summer 2024.
• Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision.
• Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms.
• Familiar with architecture and implementation of at least one mainstream Machine Learning programming framework (TensorFlow/PyTorch/MXNet).
• Excellent communication and teamwork skills, and a passion for learning new techniques and tackling challenging problems.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Prior research/industry experience with deploying, prompting, and fine-tuning foundation models.
• Prior research/industry experience with applied Machine Learning, or large-scale recommendation systems - Publications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impact.
• Strong track record in AI-related competitions, or participation in public/open-source AI-related projects of high visibility.
• A strong passion for First Principles Thinking.

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 earlycareers.accommodations@tiktok.com.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
Job Information
The hourly rate range for this position in the selected city is $60- $60. We cover 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire. Medical coverage only, no dental or vision coverage.
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Our time off and leave plans are: Paid holidays and paid sick leave. The sick leave entitlement is based on the time you join.
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We also provide mental and emotional health benefits through our Employee Assistance Program and provide reimbursements for your mobile phone expense. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Health insurance, Cell phone reimbursement, Employee assistance program, Vision insurance, Paid sick time