Machine Learning Engineer Intern AML

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Machine Learning Engineer Intern AML in USA

ByteDance
Full time
Email

USA
09/07/2026
Report

Seattle, WA

Responsibilities

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

Requirements

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 foundation in data structures, algorithms, and software engineering principles.
Familiarity with Linux, operating systems, computer networks, concurrent programming, and distributed systems.
Ability to investigate systems using source code, metrics, logs, profiling, and experiments.
A systematic and quantitative approach to problem solving, including defining measurements, testing hypotheses, and validating improvements.
Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or other engineering projects.
Preferred experience includes Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
Preferred qualifications include contributions to Kubernetes, Volcano, Koordinator, or OpenKruise infrastructure projects.
Preferred experience includes vLLM, SGLang, Triton, KServe, Ray Serve, KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism.
Preferred experience includes online services, gateways, traffic management, autoscaling, performance optimization, highly available distributed systems, GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis.

Benefits

Internship providing hands-on experience, industry exposure, and opportunities to apply knowledge to real-world challenges.
Participation in social events, learning programs, and development workshops alongside industry professionals.
Applications are reviewed on a rolling basis, and candidates should state their availability and start and end dates on their resume.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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