> Markdown version of [/jobs/ext/3275497-student-researcher-seed-model-ai-foundation-model-infrastructure-2027-start-new](https://www.wearedevelopers.com/jobs/ext/3275497-student-researcher-seed-model-ai-foundation-model-infrastructure-2027-start-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Student Researcher - (Seed Model - AI Foundation Model Infrastructure) - 2027 Start New - **Company:** BYTEDANCE INC. - **Location:** San Jose, CA, United States (Remote available) - **Salary:** $114,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Compilers, Profiling, Computer Programming, Data Structures, Software Debugging, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, System Programming, Reinforcement Learning, Electrical and Computer Engineering, Information Technology - **Published:** September 1, 2026 - **Apply:** https://www.gamesjobsdirect.com/job/bytedance/student-researcher-seed-model-ai-foundation-model-infrastructure-2027-start/360408 ## About the Role Minimum Qualifications - Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. - Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++. - Experience with systems programming, distributed systems, compilers, or performance optimization through coursework, research, or projects. Preferred Qualifications - Experience with large-scale systems, parallel or distributed computing, or performance optimization. Familiarity with system design, debugging, and profiling tools. - Strong problem-solving ability and ability to work collaboratively in a technical environment. ## Description About the team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Contribute to infrastructure and systems for large-scale models. - Support development of efficient and scalable components across areas such as training platforms, inference systems, compilers, and distributed systems. - Implement and optimize system modules, tooling, or frameworks. - Collaborate with researchers and engineers to support research and system development.