Job Specifications
Responsibilities
About Team:
On the AI Infra Team, you'll be immersed in the robust and scalable infrastructure that powers our cutting-edge artificial intelligence (AI) and machine learning (ML) initiatives. You will work closely with our AI/ML researchers, data scientists, and software engineers to create an efficient, high-performance environment for training, inference, and data processing. Your expertise will be critical in enabling the next generation of AI-driven products and services.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.
PhD internships at Bytedance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities
The ideal candidate should be an expert in at least one of the following fields to define and design the next-gen AI Infrastructure:
Infrastructure Design & Architecture
Lead end-to-end design of scalable, reliable AI infrastructure (AI accelerators, compute clusters, storage, networking) for training and serving large ML workloads.
Define and implement service-oriented, containerized architectures (Kubernetes, VM frameworks, unikernels) optimized for ML performance and security.
Performance Optimization
Profile and optimize every layer of the ML stack—ML Compiler, GPU/TPU scheduling, NCCL/RDMA networking, data preprocessing, and training/inference frameworks.
Develop low-overhead telemetry and benchmarking frameworks to identify and eliminate bottlenecks in distributed training and serving.
Distributed Systems & Scalability
Build and operate large-scale deployment and orchestration systems that auto-scale across multiple data centers (on-premises and cloud).
Champion fault-tolerance, high availability, and cost-efficiency through smart resource management and workload placement.
Data Pipeline & Workflow Engineering
Architect and implement robust ETL and data ingestion pipelines (Spark/Beam/Dask/Flume) tailored for petabyte-scale ML datasets.
Integrate experiment management and workflow orchestration tools (Airflow, Kubeflow, Metaflow) to streamline research-to-production.
Collaboration & Mentorship
Partner with ML researchers to translate prototype requirements into production-grade systems.
Mentor and coach engineers on best practices in performance tuning, systems design, and reliability engineering.
Qualifications
Minimum Qualifications
Graduation date in 2026 year with a PhD in Computer Science, Engineering, or a related technical field.
Understanding of infrastructure or systems engineering focused roles, with ML/AI infrastructure.
Strong programming skills in Python, C++, Go, or Rust for systems development and automation.
Excellent communicator able to bridge research and production teams.
Strong problem-solving aptitude and a drive to push the state of the art in ML infrastructure.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
Job Information
For Pay TransparencyCompensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $57- $57.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes
About the Company
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 is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we dri...
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