Senior Machine Learning Ops Engineer, ML System

Senior Machine Learning Ops Engineer, ML System

Location:

San Jose

Team:
Technology

Employment Type:

Regular

Job Code: A32515

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

• 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

• Engaged in the operation and maintenance of large‑scale ML distributed systems
• Experience in operation and maintenance of GPU servers

The base salary range for this position in the selected city is $136,800 - $359,720 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.

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 the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;

3. Exercising sound judgment.

Founded in 2012, Byte Dance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.

Inspiring creativity is at the core of Byte Dance’s mission. Our innovative products are built to help people authentically express…