Large Language Model Training System Engineer Graduate (Applied Machine Learning) - 2027 Start

ByteDance
San Jose
Full timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem solving","Scientific modeling","Performance optimization","Technical investigation"]

Build and evolve a serverless large-model post-training platform on Volcano Ark, enabling SFT and RL workflows for internal and external users. Design elastic training solutions for complex multi-tenant scenarios across multiple data centers and heterogeneous hardware, improving throughput and stability. Develop reinforcement learning systems that raise training efficiency and provide user-friendly RL training interfaces, working with the Data AML ML platform team.

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ByteDance
ByteDance
1 day ago

Large Language Model Training System Engineer Graduate (Applied Machine Learning) - 2027 Start

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Last checked: 7 hours agoStatus: Live

Job Summary

Build and evolve a serverless large-model post-training platform on Volcano Ark, enabling SFT and RL workflows for internal and external users. Design elastic training solutions for complex multi-tenant scenarios across multiple data centers and heterogeneous hardware, improving throughput and stability. Develop reinforcement learning systems that raise training efficiency and provide user-friendly RL training interfaces, working with the Data AML ML platform team.
Location: San Jose
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Develop the Volcano Ark training system to support large-model post-training for internal and external users, including SFT and RL in a serverless manner.
  • •Design elastic training solutions for complex multi-tenant training across multiple data centers and heterogeneous hardware, improving throughput and stability.
  • •Design reinforcement learning systems to improve training efficiency.
  • •Provide user-friendly reinforcement learning training interfaces.
  • •Collaborate with the Data AML machine learning platform team supporting training and inference for recommendation, advertising, computer vision, speech, and NLP scenarios.

Key Requirements

  • •Completing or recently completed a Bachelor’s or Master’s degree in Computer Science or a related discipline.
  • •Proficient in one or more programming languages such as Python, Rust, or C++, writing clean code with strong abstraction and framework design skills.
  • •Experience in training framework design or training system optimization, or participation in large model training engineering or complex distributed systems development.
  • •Strong interest in diagnosing and solving technical problems, studying low-level principles and performance bottlenecks, and applying scientific modeling methods.
  • •Ability to commit to an onboarding date by the end of the year and clearly state availability and graduation date in the resume.
Education:Bachelor's in Computer Science or a related discipline
Skills:Problem solvingScientific modelingPerformance optimizationTechnical investigation
Tech Stack:PythonRustC++ServerlessMulti-tenantSFTRLReinforcement learningDistributed systemsHigh-performance networkingHeterogeneous hardware

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