Responsibilities
About the Team:
Site Reliability Engineering (SRE) of the AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run a massively distributed AI/ML recommendation system for the United States and all around the world.
On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis, and large-scale systems operation. Join us and you'll have the chance to shape the future of AML systems and make a real, tangible impact on TikTok users.
Responsibilities:
Design, build, and maintain highly available, scalable, and fault-tolerant systems.
Monitor and analyze system performance, identifying and resolving issues before causing user impact.
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Develop and maintain automated monitoring, alerting, and incident response systems.
Collaborate closely with software engineering teams to ensure that applications are designed with reliability, scalability, and performance in mind.
Implement and maintain security best practices and ensure compliance with regulatory requirements.
Participate in on-call rotations and respond to issues and incidents within and outside of normal business hours.
Conduct root cause analysis of incidents, hold post-mortem reviews with stakeholders, and implement preventative measures to minimize the risk of similar incidents occurring in the future.
Qualifications
Minimum Qualifications:
Expertise in analyzing and troubleshooting Linux-based distributed systems.
Bachelor's/Master's degree in Computer Science, Computer Engineering, or equivalent years of experience in a SRE or software engineering role.
Experience programming with at least one commonly used language (C, C++, Python, Go).
Strong understanding of data structures and algorithms.
Competent knowledge of relational database systems.
Preferred Qualifications:
Ability to design and maintain large-scale systems.
Strong understanding of code optimization and routine task automation.
Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $118657 - $250000 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.