Software Engineer Graduate (MLOps) - 2027 Start

Job summary

Technology Software Engineer Graduate (MLOps) - 2027 Start Location : San Jose Employment Type : Regular Job Code : A09293 Responsibilities The monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems. SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible.

Benefits

Qualifications

• Minimum
• Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Computer Science or a related discipline.
• Expertise in Linux operating systems, networking, storage.
• Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
• Experience in troubleshooting application issues, or production operations.
• Effective communication
• Experience in SRE of machine learning systems.
• Experience in SRE of ads/recommendation/search systems.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.Tik***.com/legal/privacy
• Job Information
• For Pay Transparency】Compensation Description (Annually)
• The base salary range for this position in the selected city is $128000 - $256000 annually.

Responsibilities

• The monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems.
• SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible.
• 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.
• Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
• The application limit is applicable to our Company and its affiliates' jobs globally.
• Applications will be reviewed on a rolling basis - we encourage you to apply early.
• Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services.
• Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates
• Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance.

Skills

Degrees

Industry

Security clearance