ByteDance
Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start
Arlington, Virginia · Intern · Internship
Sponsorship not specifiedDetected 27 days ago
PythonC++ExpressData StructuresAlgorithmsKubernetesLinuxMachine LearningMLOpsResearchCollaborationProblem Solving
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 175 green-card filings in this occupation, 99% were for a worker who already held the job.
Green-card intent detected
ByteDance Inc. obtained a prevailing wage determination for Software Developers in San Jose, CALIFORNIA on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 5 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file
Green-card follow-through: 65%
Of 152 labor certifications old enough to have been used, 53 expired without the employer filing the next step. Median time from filing to decision: 470 days.98% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
118 transfer filings in the last year, covering 118 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- You will work on systems that directly affect GPU utilization, serving latency and availability, infrastructure reliability, and MLE productivity.
- Depending on your background and interests, you may focus on one or more of the following areas.
- Candidates may apply to a maximum of two positions across Our Company and its affiliates globally.
Responsibilities
- We develop the orchestration, scheduling, and resource management systems that connect heterogeneous compute infrastructure with production ML 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.
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 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.
Nice to have
- 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.
- 【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
- The hourly rate range for this position in the selected city is $45- $45.
- For Los Angeles County (unincorporated) Candidates:
- Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
Benefits
- The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok.
- Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
- Design and build foundational orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and lifecycle management for jobs, services, and stateful workloads.
Company info
- Founded in 2012, ByteDance's mission is to inspire creativity and enrich life.
- With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
- Why Join ByteDance
- Inspiring creativity is at the core of ByteDance's mission.
- Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible.
- Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
- As ByteDancers, we strive to do great things with great people.
- We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
- By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users.
- When we create and grow together, the possibilities are limitless.
- Diversity & Inclusion
- ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
- Our platform connects people from across the globe and so does our workplace.
- At ByteDance, our mission is to inspire creativity and enrich life.
Apply directly at ByteDance →Create a free account for alerts like thisView ByteDance immigration profile
This listing is sourced directly from ByteDance's careers page and normalized into a canonical job model.