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Staff Machine Learning Engineer, Notifications Relevance

External
Reddit logoReddit · Remote
$230K–$322K/yrFull-timeRemoteToday
BudgetingGenerative AILLMsMachine LearningPythonPyTorch
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Responsibilities

  • Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience.
  • Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team.
  • Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization.
  • Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges

Requirements

  • 8+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred.
  • Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance.
  • Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.
  • Experience working with LLM in production and utilizing generative AI to augment recommendation systems
  • Proficiency in object-oriented programming (Python, Golang).
  • Big Plus: experience with state of the art model architectures
  • Big Plus: experience building production Agentic AI frameworks.

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs401k with Employer MatchGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving supportFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsFlexible Vacation & Paid Volunteer Time OffGenerous Paid Parental Leave#LI-remote, #LI-DBPay Transparency:This job posting may span more than one career level.The base salary range for this position is:$230,000 - $322,000 USDIn select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.During the interview, we will collect the following categorHealth insuranceDental insuranceVision insurance401(k)Paid time offRemote work optionsFlexible scheduleEquity / stock optionsParental leave

Additional Information

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . The Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app). We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer. Reddit is home to some of the most valuable and engaging conversations on the internet. As a Staff Machine Learning Engineer on Notifications Relevance , you'll serve as a technical leader for one of Reddit's highest-leverage ML systems, helping millions of users discover relevant content, communities, and conversations every day. You'll drive the strategy, architecture, and execution of large-scale recommendation systems spanning targeting, budget optimization, retrieval, ranking, measurement, and emerging LLM-powered experiences. This role offers the opportunity to shape the future of engagement and retention at Reddit while pushing the boundaries of personalization and machine learning at massive scale.


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