Machine Learning Engineer Graduate Local Services - 2026 Start (PhD)

San Jose, California, United States

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The Local Services team's goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
- Work on ML models and algorithms to drive the creation of cutting-edge technical solutions to bridge the gap between technical capabilities and real-world business impact, including POI data quality improvement and governance, POI recommendation, user understanding, etc.
- Responsible for algorithmic strategies in geographical content and services, enhancing and optimizing Location-Based Services (LBS) capabilities to support a range of international products.
- Thoroughly comprehend business intricacies, analyze issues, and devise appropriate algorithms and strategies tailored to various problem domains. Continuously optimize performance and efficacy.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data quality Machine Learning ML models PhD

Region: North America
Country: United States

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