Research Scientist - Driven Agent Self-Evolution - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Collaboration","Ability to thrive in fast-paced environments","Strong theoretical thinking"]

Develop self-evolving LLM agent frameworks that learn and improve from execution traces, user feedback, and environmental signals. Build large-scale log analytics pipelines to extract quality signals and usage patterns from model and agent invocations. Apply frontier LLM post-training, reasoning, and planning techniques, then collaborate with algorithm, platform engineering, and product teams to turn research ideas into scalable production systems.

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FursaFursa
ByteDance
ByteDance
1 month ago

Research Scientist - Driven Agent Self-Evolution - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

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Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop self-evolving LLM agent frameworks that learn and improve from execution traces, user feedback, and environmental signals. Build large-scale log analytics pipelines to extract quality signals and usage patterns from model and agent invocations. Apply frontier LLM post-training, reasoning, and planning techniques, then collaborate with algorithm, platform engineering, and product teams to turn research ideas into scalable production systems.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Research and develop agent frameworks that continuously learn and improve from execution traces, user feedback, and environmental signals.
  • •Build large-scale log analytics pipelines to extract quality signals, usage patterns, and actionable insights from model and agent invocation logs.
  • •Explore and apply frontier techniques in LLM post-training, reasoning, and planning to enhance agent capabilities.
  • •Collaborate across algorithm research, platform engineering, and product teams to turn research ideas into production-grade systems at scale.

Key Requirements

  • •Completing or recently completed a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • •Strong theoretical and practical foundation in machine learning, deep learning, reinforcement learning, or optimization.
  • •Research experience in at least one area such as LLM-based agents, planning and reasoning, multi-agent systems, continual/lifelong learning, or LLM post-training.
  • •Strong programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • •Publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, AAMAS, COLM).
Experience:ResearchMachine learningArtificial intelligenceLarge language modelsReinforcement learningLLM post-trainingMulti-agent systems
Education:PhD / Doctorate
Skills:Problem-solvingCollaborationAbility to thrive in fast-paced environmentsStrong theoretical thinking
Tech Stack:PythonPyTorchTensorFlowJAXLLMLarge Language ModelsMachine learningDeep learningReinforcement learningOptimizationRLHFDPOGRPOSelf-playMonte Carlo

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