Senior Site Reliability Engineer, ML System

Responsibilities

Team Intro
Established in 2023, the ByteDance Seed team is dedicated to discovering new approaches to general intelligence, and pushing the boundaries of AI. Our research spans large language models, speech, vision, world models, AI infrastructure, next-generation interfaces and more.
With a long-term vision and determination in AI, the ByteDance Seed team remains committed to foundational research. We aim to become a world-class AI research team that drives real technological progress and delivers societal benefits.
With labs across China, Singapore, and the U.S., our team has already released industry-leading general-purpose large models and advanced multimodal capabilities, powering over 50 real-world applications — including Doubao, Coze, and Jimeng.

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI. In our team, you'll have the opportunity to build the large-scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.


Responsibilities:
1. Responsible for ensuring our ML systems are operating and running efficiently for large model development, training, evaluation, and inference
2. Responsible for the stability of offline tasks/services in multi-data center, multi-region, and multi-cloud scenarios
3. Responsible for resource management and planning, cost and budget, including computing and storage resources
4. Responsible for global system disaster recovery, cluster machine governance, stability of business services, resource utilisation improvement and operation efficiency improvement
5. Build software tools, products and systems to monitor and manage the ML infrastructure and services efficiently
6. Be part of the global team roster that ensures system and business on-call support

Qualifications

Minimum Qualifications:
- Bachelor's degree or above, major in computer science, computer engineering or related
- Strong proficiency in at least one programming language such as Go/Python/Shell in Linux environment
- Strong hands-on experience with Kubernetes and containers skills, and have more than 2 years of relevant operation and maintenance experience
- Possess excellent logical analysis ability, able to reasonably abstract and split business logic
- Have good documentation principles and habits to be able to write and update workflow and technical documentation as required on time
- Possess a strong sense of responsibility, good learning ability, communication ability and self-drive, good team spirit

Preferred Qualifications
- Engaged in the operation and maintenance of large-scale ML distributed systems
- Experience in operation and maintenance of GPU servers

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $184300 - $337250 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

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 that criminal history may have a direct, adverse and negative relationship on t