AI Machine Learning Engineer Graduate (Search) - 2026 Start (PhD)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Self-direction","Intellectual curiosity","Openness","Problem-solving","Communication","Teamwork"]

Build and own a full-stack search engine by combining information retrieval with modern ML methods. Work on cutting-edge NLP technologies, cross-modal matching for multimodal (NLP + Computer Vision) video search, and large-scale streaming ML for personalized recommendations. Conduct research at massive data scale, optimizing distributed systems for low-latency, high-throughput online services while developing and iterating search recommendation models.

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FursaFursa
ByteDance
ByteDance
1 month ago

AI Machine Learning Engineer Graduate (Search) - 2026 Start (PhD)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and own a full-stack search engine by combining information retrieval with modern ML methods. Work on cutting-edge NLP technologies, cross-modal matching for multimodal (NLP + Computer Vision) video search, and large-scale streaming ML for personalized recommendations. Conduct research at massive data scale, optimizing distributed systems for low-latency, high-throughput online services while developing and iterating search recommendation models.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Explore NLP technologies from word segmentation and NER to text and multimodal pre-training, query analysis, and relevance modeling.
  • •Develop cross-modal matching methods combining Computer Vision and Natural Language Processing for multimodal video search.
  • •Apply large-scale streaming machine learning to improve search recommendation and user personalization.
  • •Research and innovate for data scale ranging from large-scale offline computing to performance and scheduling optimization in distributed systems.
  • •Build and continuously iterate search recommendation technologies using ultra-large-scale machine learning.

Key Requirements

  • •Completing or recently completing a PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline.
  • •Proficient coding skills and strong algorithm and data structure knowledge using C++/Python/Java.
  • •Solid knowledge of machine learning with practical experience applying it.
  • •Modeling experience in areas such as Ads, search engine, recommender systems, or NLP/CV.
  • •Strong publications record in top conferences or journals (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, NAACL, CVPR, ICCV, ECCV).
Education:PhD / Doctorate
Skills:Self-directionIntellectual curiosityOpennessProblem-solvingCommunicationTeamwork
Tech Stack:NLPNamed Entity Recognition (NER)Computer Vision (CV)MultimodalRecommender SystemsLarge-scale machine learningDistributed systemsC++PythonJavaLLMsSingle-modal LLMMulti-modal LLMICLRNeurIPSICMLACLEMNLPNAACLCVPR

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn