Machine Learning Engineer Graduate (TikTok Recommendation) - 2024 Start (BS/MS)

$116,000 - $177,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

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, and our mission is to inspire creativity and bring joy. As a Machine Learning Engineer Graduate in the Recommendation Algorithm team, you will play a pivotal role in driving critical product decisions and platform growth. This team is composed of machine learning researchers and engineers who support and innovate on production recommendation models, ultimately driving product impact. The environment is fast-paced, collaborative, and focused on making a significant impact in the industry. In this role, you will be responsible for building an industry-leading recommendation system that enhances user experience, enriches the content ecosystem, and strengthens platform security. You will deliver end-to-end machine learning solutions to tackle critical product challenges, owning the full stack machine learning system while optimizing algorithms and infrastructure to improve recommendation performance. Collaboration with cross-functional teams will be essential as you design product strategies and develop solutions to expand TikTok's reach in important markets. As a graduate, you will have unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. You will co-create a future driven by your inspiration with TikTok, and we are looking for talented individuals to join our team in 2024. Successful candidates must be able to commit to one of several start dates, and we encourage you to state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis, so we recommend applying early.

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

• Bachelor degree or above in the field of computer science or a related technical discipline.
• Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language.
• Experienced in Machine Learning, familiar with at least one Deep Learning framework, e.g. PyTorch, Tensorflow.
• Effective communication and teamwork skills.

Nice-to-haves

• Experienced in one or more of the following areas: NLP, CV, Recommender System, and Machine Learning.
• Authors of published papers in top academia conferences is an advantage.
• Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through our EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.