ByteDance

1 day ago

Research Engineer Graduate (Agent Systems & AI Coding Environment – Seed Infra) – 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Work on ByteDance’s Seed Infrastructures team to build and scale agent systems for AI coding and knowledge tasks. You’ll create agent harness and execution environments, develop orchestration for multi-step agent workflows, and design evaluation and benchmarking to measure long-horizon performance. Improve agent quality through prompting, data curation, and post-training in collaboration with model and RL teams, and help productionize agent systems with research and product partners.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Graduate level

Key Responsibilities

•Build agent harness and execution environments for AI coding and knowledge tasks, including code execution, tool integration, sandboxing, and system interaction.
•Develop scalable orchestration frameworks for multi-step agent workflows, covering planning, tool use, memory, and coordination.
•Design evaluation and benchmarking systems to measure agent performance on complex, long-horizon tasks.
•Improve agent performance through prompting, data curation, and post-training in collaboration with model and RL teams.
•Partner with research and product teams to productionize agent systems.

Key Requirements

•Completing or recently completed a Ph.D. in Computer Science, Machine Learning, Systems, or a related field.
•Strong programming skills (Python or similar) and system-building experience.
•Experience with LLM-based systems, pipelines, or tool-integrated workflows.
•Understanding of system design and building scalable infrastructure.
•Experience building agent harness/runtime systems or AI coding environments, including Docker/Kubernetes-based orchestration and sandboxed code execution.

Experience:Machine learningAILLM systemsReinforcement learningDistributed systems

Education:PhD / Doctorate

Tech Stack:PythonLLMsDockerKubernetesReinforcement learningDistributed trainingSandboxing

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

Website LinkedIn

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ByteDance

1 day ago

Research Engineer Graduate (Agent Systems & AI Coding Environment – Seed Infra) – 2026 Start (PhD)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Graduate level

Key Responsibilities

•Build agent harness and execution environments for AI coding and knowledge tasks, including code execution, tool integration, sandboxing, and system interaction.
•Develop scalable orchestration frameworks for multi-step agent workflows, covering planning, tool use, memory, and coordination.
•Design evaluation and benchmarking systems to measure agent performance on complex, long-horizon tasks.
•Improve agent performance through prompting, data curation, and post-training in collaboration with model and RL teams.
•Partner with research and product teams to productionize agent systems.

Key Requirements

•Completing or recently completed a Ph.D. in Computer Science, Machine Learning, Systems, or a related field.
•Strong programming skills (Python or similar) and system-building experience.
•Experience with LLM-based systems, pipelines, or tool-integrated workflows.
•Understanding of system design and building scalable infrastructure.
•Experience building agent harness/runtime systems or AI coding environments, including Docker/Kubernetes-based orchestration and sandboxed code execution.

Experience:Machine learningAILLM systemsReinforcement learningDistributed systems

Education:PhD / Doctorate

Tech Stack:PythonLLMsDockerKubernetesReinforcement learningDistributed trainingSandboxing

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn