Machine Learning Ops Engineer, Global SRE

Responsibilities

MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.

Responsibilities
1) Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems.
2) Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks.
3) Responsible for rolling out GPU model training in Non-China regions.
4) Responsible for stability of AIGC related machine learning tasks.
5) Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.

Qualifications

Minimum Qualifications
1) Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
2) Expertise in Linux operating systems, networking, storage.
3) Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
4) Experience in troubleshooting application issues, or production operations.
5) Effective communication skills and a sense of ownership and drive.

Preferred qualifications:
1) Experience in SRE of machine learning systems.
2) Experience in SRE of ads/recommendation/search systems.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $254400 - $480000 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 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; and

3. Exercising sound judgment.

Responsibilities

Responsibilities

MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.

Responsibilities
1) Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems.
2) Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks.
3) Responsible for rolling out GPU model training in Non-China regions.
4) Responsible for stability of AIGC related machine learning tasks.
5) Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.

Qualifications

Qualifications

Minimum Qualifications
1) Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
2) Expertise in Linux operating systems, networking, storage.
3) Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
4) Experience in troubleshooting application issues, or production operations.
5) Effective communication skills and a sense of ownership and drive.

Preferred qualifications:
1) Experience in SRE of machine learning systems.
2) Experience in SRE of ads/recommendation/search systems.