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Job

Machine Learning Engineer Graduate (Monetization Technology-Search Ads) - 2024 Start (PhD) - San Jose

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TikTok

Sep 21

💼 Graduate Job

San Jose

AI generated summary

  • The ideal candidate for this Machine Learning Engineer Graduate role at TikTok should have a technical background in Software Development, Computer Science, Computer Engineering, or a related discipline. They should possess strong programming skills in languages like Go, C/C++, and Python. Critical thinking, problem-solving abilities, and effective communication skills are also essential. Additionally, a PhD in NLP, research experience, and published papers in top conferences/journals, as well as knowledge in areas such as Machine Learning, Deep Learning, NLP, LLM, ranking systems, and recommendation systems would be highly advantageous. The candidate should be able to work collaboratively in a multicultural and cross-functional environment.
  • The Machine Learning Engineer Graduate will be responsible for developing NLP strategies, improving CTR/CVR models, exploring AIGC technology, optimizing ad delivery ROI, and collaborating with product managers and marketing teams to drive revenue growth.

Graduate Job

Software EngineeringSan Jose

Description

  • The TikTok Search Ads (TTSA) team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TikTok Shop, TopBuzz, BuzzVideo, and more, building a globally leading Search monetization system. At TTSA team, you'll have the opportunity to engage with large-scale distributed architecture, NL, and ML-related problems, and explore the most cutting-edge technologies like LLM and AIGC. You will also be deeply involved in the innovation and optimization of our Ad format, create display, and the ROI of ads delivery. We are looking for candidates who have strong enthusiasm, and share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.
  • We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Requirements

  • Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Experience with one or more general purpose programming language including but not limited to: Go, C/C++, Python.
  • Ability to think critically and formulate solutions to problems in a clear and concise way.
  • Preferred Qualifications:
  • PhD degree and research experience in NLP area, has published high-quality papers in top conferences/journal, like ACL/EMNLP/NAACL/NIPS...
  • Experience with one or more of the following: Machine Learning, Deep Learning, NLP, LLM, ranking systems, recommendation systems.
  • Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment

Education requirements

PhD

Area of Responsibilities

Software Engineering

Responsibilities

  • Encompass the development and fine-tuning of NLP strategies like query understanding, semantic mining, LLM algorithms, knowledge graph, and multi-model text/photo/video comprehension, etc.
  • Harnessing data analysis, feature engineering ,and state-of-the-art deep learning models, you are about to improve CTR/CVR model efficiency to boost ads delivery performance.
  • Diving deep into the innovation of our Ad format and creatives, you are able to explore AIGC technology on dynamic text/image/video creation, to optimize ROI of ad delivery
  • Focus on ads pacing algorithms and traffic control
  • Collaborate with product managers and marketing teams, and play a pivotal role in shaping product strategy and drive incremental revenue growth

Details

Work type

Full time

Work mode

office

Location

San Jose