Machine Learning Engineer Internship

4 weeks ago

San Jose, California, United States Tik Tok Full time
Role Overview

TikTok is a leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Machine Learning Engineer Intern, you will be part of our pioneering Machine Learning team, committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance TikTok's experience.

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

Requirements

- Currently pursuing a PhD degree
- Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship
- 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

About TikTok

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

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