Graduate Research Engineer — AI Agent Systems & Coding

ByteDance; Seattle (WA); On-site; USD 242,000 - 456,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid parental leave

Short-term and long-term disability

Paid time off (holidays, sick days, PT

Job summary

ByteDance Seed invites PhD graduates to join their team focused on distributed training, reinforcement learning framework, and AI inference for foundation models. You will work on building agent harnesses and scalable workflows, collaborating with research and product teams to productionize agent systems.

Successful candidates will have strong Python, system-building experience, and familiarity with LLM-based pipelines, Docker/Kubernetes, and distributed infrastructure.

Qualifications

• PhD completed or near completion in CS, EE, ECE, Physics, Mathematics, or related field.
• Strong programming skills (Python or similar) and solid 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.
• Docker, Kubernetes or similar orchestration systems, distributed job execution, and containerized/sandboxed code execution environments.

Responsibilities

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

Skills

Python

System design

LLM pipelines

Docker

Agent harness

Education

PhD in Computer Science or related field

Tools

Docker

Kubernetes

Job description

ByteDance Seed invites PhD graduates to join their team focused on distributed training, reinforcement learning framework, and AI inference for foundation models. You will work on building agent harnesses and scalable workflows, collaborating with research and product teams to productionize agent systems.

Successful candidates will have strong Python, system-building experience, and familiarity with LLM-based pipelines, Docker/Kubernetes, and distributed infrastructure.