Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start

This internship is with the Data-AML-Engine Orchestration team, which builds large-scale machine learning infrastructure powering online model serving across ByteDance products, including TikTok. Interns will work on systems impacting GPU utilization, serving latency and availability, infrastructure reliability, and MLE productivity.

Responsibilities

• Design and build foundational orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and lifecycle management for jobs, services, and stateful workloads.
• Build multi-tenant resource and quota systems that support priorities, preemption, fair sharing, elasticity, and cross-cluster scheduling.
• Improve GPU utilization and cost efficiency through resource pooling and FinOps.
• Build lifecycle orchestration for online model serving, including model and image distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery.
• Build serving orchestration and traffic management capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management.

Qualifications

Minimum Qualifications:

• Currently pursuing 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 a solid foundation in data structures, algorithms, and software engineering principles.
• Familiarity with Linux and a foundational understanding of operating systems, computer networks, concurrent programming, and distributed systems.
• Strong hands-on and exploratory abilities, with a willingness to investigate systems through source code, metrics, logs, profiling, and experiments.
• A systematic and quantitative approach to problem solving, with the ability to define measurements, test hypotheses, and validate system improvements.
• Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or other engineering projects.

Preferred Qualifications:

• Experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
• Contributions to open-source infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise.
• Experience with model serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve, or an understanding of KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism.
• Experience with online services, gateways, traffic management, autoscaling, performance optimization, or highly available distributed systems.
• Experience with GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis.

Benefits

• Day one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half).
• Eligibility for housing allowance (for interns not working 100% remote).

Pay

The hourly rate for this internship position is $45.

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of products including TikTok, Lemon8, CapCut, and Pico, ByteDance makes it easier and more fun for people to connect with, consume, and create content. Our innovative products are built to help people authentically express themselves, discover, and connect.

At ByteDance, we strive to do great things with great people, fostering an "Always Day 1" mindset to achieve meaningful breakthroughs. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company.