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 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 drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.
Open Positions at ByteDance
26 open positions
Build large-scale machine learning infrastructure that orchestrates compute resources and online model serving across ByteDance products, including TikTok. This graduate role focuses on scheduling, reliability, GPU efficiency, and high-performance distributed systems.
Join ByteDance’s Applied Machine Learning team as a graduate backend engineer building Lagrange, a central platform for AI engineering workflows, distributed systems, and operational efficiency. The role combines backend development, infrastructure, performance analysis, and large-scale machine learning platform operations.
Research Engineer building and optimizing distributed infrastructure for training multimodal foundation models at massive scale. The role bridges systems research with production deployment across GPU clusters, reliability, scheduling, and performance optimization.
Build and optimize large-scale backend systems for ARK and Volcano Engine’s large model training and inference platform. The role focuses on distributed LLM serving, GPU cluster utilization, scheduling, and high-performance model execution.
Join ByteDance as a Machine Learning Engineer Intern building large-scale orchestration and model-serving infrastructure that powers online ML workloads across products including TikTok. The role focuses on scheduling, resource management, GPU utilization, serving reliability, and distributed systems.
Join the Seed Infrastructures team as a student researcher building compiler and runtime optimizations for large-scale AI model training and inference. You will work across MLIR, accelerator performance, distributed systems, and model deployment for a 12-week 2026 placement.
Build and optimize large-scale recommendation architecture at ByteDance, focusing on high-performance online services, data pipelines, computing frameworks, and storage systems. The role combines backend engineering with scalable recommendation-system infrastructure.
Research and develop machine learning and video analysis algorithms for multimedia quality assessment, optimization, and encoding. This PhD internship offers hands-on work connecting experimental models and prototypes to large-scale video products and services.
Build high-performance microservices frameworks and middleware while optimizing service costs, runtime performance, and large-scale systems. This role combines systems R&D in Go and Rust with platform development for performance diagnosis and automated optimization.
Join the Seed Infrastructures team as a Student Researcher building high-performance infrastructure for AI foundation models, including distributed training, reinforcement learning, inference, and heterogeneous hardware compilation. This PhD-focused role offers hands-on work on large-scale ML systems and performance optimization.
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