Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start Undergraduate/Master I[...]

Join us as we work together to inspire creativity and enrich life around the globe. Location: San Jose Team: Technology Employment Type: Intern Job Code:

A221977

Share this listing: Responsibilities Responsibilities The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok. We develop the orchestration, scheduling, and resource management systems that connect heterogeneous compute infrastructure with production ML workloads.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.We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. 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. Job Information Job Information About Us 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. Join us. 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. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. Reasonable Accommodation ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at #J-18808-Ljbffr Pangle