Research Engineer Graduate

Responsibilities

• Build agent harnesses and execution environments for AI coding and knowledge tasks, including code execution, tool integration, and sandboxing
• Develop scalable orchestration frameworks for multi-step agent workflows involving planning, tool use, memory, and coordination
• Design evaluation and benchmarking systems to measure agent performance across 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

Requirements

• Ph.D. in Computer Science, Machine Learning, Systems, or a related field (completing or recently completed)
• Strong programming skills in Python or similar languages 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
• Experience with Docker, Kubernetes, or similar orchestration systems and containerized/sandboxed code execution environments

Preferred Qualifications

• Familiarity with evaluation frameworks, prompting, fine-tuning, or Reinforcement Learning (RL)
• Experience with large-scale experimentation

Benefits

• Medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance and wellbeing benefits
• 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time per year

About the Company

ByteDance is a global technology company dedicated to inspiring creativity and enriching life. The ByteDance Seed team is focused on pioneering new paths toward artificial general intelligence, with research spanning MLLM, GenMedia, AI for Science, and Robotics. Our technology powers industry-leading applications and serves enterprise customers worldwide.