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2 monitoring tech jobs found in San Francisco

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SoFi
Full time
 
Staff software engineer
SoFi San Francisco, CA, USA
Employee Applicant Privacy Notice Who We Are Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why...

Feb 23, 2026
Ry
Full time
 
Staff software engineer - machine learning
Ryder San Francisco, CA, USA
Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) . Job Description : Responsibilities Own Core ML Infrastructure: Build and scale distributed systems for ML training, serving, and inference. Design and implement real-time ML workflows that power core product features. Implementation of Distributed Systems: Build robust distributed systems tailored for efficient ML training and seamless operational deployment. Feature Engineering Enhancement: Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency. Real-Time ML Workflow Enhancement: Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes. Platform Level Ownership: Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking. Architect and manage...

Feb 15, 2026
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