Global ML Recommendation SRE — Scale & Reliability
TikTok
San Jose (CA)
Hybrid
USD 118,657 - 259,200
Full time
14 days+
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Benefits offered by this job
Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Paid holidays and sick days
Job summary
A leading social media platform is seeking a Site Reliability Engineer to develop and run an AI/ML recommendation system. Responsibilities include designing scalable systems, monitoring performance, and maintaining security practices. Applicants should have expertise in Linux systems, a degree in Computer Science, and programming skills in languages like Python and C++. The position offers a hybrid work model in San Jose, California, and a competitive compensation range from $118,657 to $259,200 annually.
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).
Responsibilities
Design, build, and maintain highly available, scalable, and fault-tolerant systems.
Monitor and analyze system performance, identifying and resolving issues before user impact.
Develop and maintain automated monitoring, alerting, and incident response systems.
Skills
Linux-based distributed systems
Programming (C, C++, Python, Go)
Data structures and algorithms
Relational database systems
Education
Bachelor's/Master's degree in Computer Science or equivalent
Tools
TensorFlow
PyTorch
MXNet
PaddlePaddle
Job description
A leading social media platform is seeking a Site Reliability Engineer to develop and run an AI/ML recommendation system. Responsibilities include designing scalable systems, monitoring performance, and maintaining security practices. Applicants should have expertise in Linux systems, a degree in Computer Science, and programming skills in languages like Python and C++. The position offers a hybrid work model in San Jose, California, and a competitive compensation range from $118,657 to $259,200 annually.