Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start (PhD) PhD Graduates - 2027 Start San Jose Regular

Bytedance; San Jose, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

ByteDance seeks a PhD-level engineer to design and build scalable orchestration for ML platforms, including Kubernetes Operators and lifecycle management for jobs and services.

You will improve GPU utilization, implement multi-cluster serving, and advance autoscaling and disaster recovery across disaggregated clusters. A strong background in distributed systems and open-source tooling is valued.

Qualifications

• PhD in Computer Science or related field.
• Strong knowledge of Go, C++, or Python.
• Experience with Linux, OS concepts, networks, concurrency, and distributed systems.
• Ability to analyze systems via metrics, logs, and profiling.
• Proven ownership and collaboration through projects.

Responsibilities

• Design and build foundational orchestration capabilities for ML platforms.
• Develop multi-tenant resource and quota systems and improve GPU utilization.
• Create lifecycle orchestration for model serving and multi-cluster operations.
• Implement serving and traffic management for disaggregated clusters.

Skills

Go

C++

Python

Distributed systems

Data structures & algorithms

Education

PhD in Computer Science / Software Engineering

Tools

Kubernetes

Container runtimes

Volcano

Koordinator

OpenKruise

KServe

Job description

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

San Jose

Team:

Technology

Employment Type:

Regular

Job Code:

A11019

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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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities:

1. Design and build foundational orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and lifecycle management for jobs, services, and stateful workloads.
2. 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.
3. Build lifecycle orchestration for online model serving, including model and image distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery.
4. 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

• Individuals who are completing or have recently completed a PhD'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

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 https://tinyurl.com/RA-request