Unknown Company

Global ML Recommendation SRE — Scale & Reliability

san jose, ca • Posted 2 weeks ago
Hybrid Full Time Quality Engineering
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.
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Global ML Recommendation SRE — Scale & Reliability in san jose at Unknown Company

This position is listed as full time and hybrid.

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