ByteDance
Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- Completing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
About the job
Build large-scale machine learning infrastructure for orchestration, resource scheduling, and online model serving across ByteDance products.
What you'll do
- Develop orchestration capabilities for ML workloads, including Kubernetes Operators, container runtimes, and workload lifecycle management.
- Build multi-tenant resource management and scheduling systems to improve GPU utilization and cost efficiency.
- Develop model-serving lifecycle, traffic-management, autoscaling, and reliability capabilities.
What they ask for
- Completing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
- Proficiency in at least one of Go, C++, or Python, with foundations in data structures, algorithms, and software engineering.
- Familiarity with Linux and foundational knowledge of operating systems, computer networks, concurrent programming, and distributed systems.
- Hands-on problem-solving and engineering experience demonstrated through coursework, research, internships, open-source contributions, or other projects.
Nice to have
- Experience with Kubernetes, container runtimes, scheduling, quota management, multi-tenant systems, or FinOps.
- Experience with model-serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve.
Tools
Kubernetes, Go, C++, Python, Linux, Volcano, Koordinator, OpenKruise
AI focus
Build infrastructure that orchestrates machine-learning workloads and online model serving, including scheduling, resource management, model deployment, and serving traffic management.
Model-written summary · the original posting is authoritative