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Machine Learning Engineer Graduate (Location Based Service) - 2025 Start (PhD)

TikTok
San Jose, CA
Full-time

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.

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.

TikTok Location 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.

Successful candidates must be able to commit to an onboarding date by end of year 2025.

We will prioritize candidates who are able to commit to these start dates. 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.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.

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 production, POI recommendation, reviews sentiment analysis and ranking, geocoding, user profiling, 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.

Qualifications

Minimum Qualifications :

  • PHD Degree in Computer Science or related major.
  • Experienced in programming and algorithmic skills, proficient in languages such as Python, Golang, or C++.
  • Deep understanding of computer architectures, data structures and algorithms.
  • Experienced in one or more of the following topics : Tensorflow, Caffe, MxNet, PyTorch or other machine learning frameworks
  • Have good team communication and collaboration skills.

Preferred Qualifications :

  • Experience or domain expertise in one or more of the following areas is preferred : POI (Point of Interest) data algorithms, NLP, recommendation systems, reviews sentiment analysis and ranking, NER, text mining, geocoding, user profiling, etc.
  • Experience in big data,data warehouse,streaming data flow and real time data processing system is 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

30+ days ago
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