Remote Otter LogoRemoteOtter

Senior Software Engineer - Machine Learning Platform - Remote

Posted 3 days ago
Software Development
Full Time
USA, Canada
$155,656 - $225,160 USD/year; $199,399 - $230,748 CAD/year; $186,105 - $215,365 CAD/year

Overview

Quora is a remote-first company seeking a Senior Software Engineer to work on their Machine Learning Platform, contributing to the infrastructure that supports machine learning models.

In Short

  • Design, develop, and maintain the core infrastructure for Quora's machine learning platform.
  • Build scalable distributed systems for serving machine learning models.
  • Optimize infrastructure performance for large-scale workloads.
  • Collaborate with ML engineers to provide solutions for model deployment.
  • Develop services using open source technologies like Kubernetes and TensorFlow.
  • Participate in on-call rotation and resolve production issues.
  • Contribute to the design of next-generation ML infrastructure.
  • 4+ years of industry experience in Machine Learning or related fields.
  • Experience with Python, C++, or similar programming languages.
  • Strong communication skills and experience with containerized infrastructure preferred.

Requirements

  • Experience with end-to-end machine learning systems.
  • Experience with performance monitoring of ML workloads.
  • Experience in high-performance distributed systems.
  • BS or MS in Computer Science or related field.
  • Strong communication and interpersonal skills.

Benefits

  • Medical/dental/vision coverage.
  • Equity refreshers.
  • Remote work reimbursement.
  • Paid time off.
  • Employee assistance programs.
Quora logo

Quora

Quora is a dynamic technology company focused on building innovative AI products, such as Poe, which enhances user interaction through advanced features and a robust bot ecosystem. The company promotes a collaborative work environment, allowing employees to work remotely from various countries while engaging with cross-functional teams. Quora values sustainable coding practices and user experience, making it an ideal place for skilled software engineers to contribute to large-scale projects and develop their expertise.

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