Resumo da vaga

Senior Machine Learning Systems Engineer, Ranking Platform

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

How You'll Have Impact

  • Design and implement the next generation ML ranking system that powers the personalized feeds, search and other products at Reddit
  • Design and develop ML and Generative AI systems in cloud-based production environments at scale
  • Partner closely with Product, Infrastructure and Engineering teams and translate requirements into scalable ML systems
  • Write efficient, scalable and maintainable code that will help us iterate quickly and safely
  • Champion and drive engineering processes and best practices
  • Raise the bar for engineering across the team through code reviews, mentorship and knowledge sharing

Who You Might Have:

  • 5+ years of experience as a software engineer developing large-scale distributed systems and data intensive ML based system, using Go, Python, C++ or any object oriented programming language
  • 5+ years of experience with designing and implementing large-scale performant and reliable machine learning systems. Experience with recommendation systems is preferred.
  • Experience with developing and improving tools such as deployment, automation, system diagnosis, ML monitoring etc.
  • Strong organizational skills with the ability to prioritize tasks and keep projects on schedule with a strong attention to detail
  • BS degree in Computer Science, a similar technical field of study or equivalent practical experience
  • Familiar with software engineering best practices such as unit testing and code reviews, design, and documentation
  • Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure
  • Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences

Who You Might Have:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
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FocoMachine LearningÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackPythonSkills principais
Localização1 país aceitoElegibilidade

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