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Machine Learning Manager - Ads Creative Effectiveness - Remote

Posted 7 days ago
Software Development
Full Time
USA
$230,000 - $322,000 USD

Overview

Reddit’s newly minted Ads Creative Effectiveness team sits at the heart of our creative strategy, building generative-AI and predictive products that help advertisers ship high-impact campaigns.

In Short

  • Lead and mentor a diverse team of Machine Learning Engineers and software engineers.
  • Define long-term roadmaps aligning generative AI with Ads objectives.
  • Launch and scale LLM/VLM-powered generators and predictive models.
  • Architect low-latency generation stacks and petabyte-scale feature pipelines.
  • Establish A/B testing and causal-inference frameworks.
  • Collaborate with cross-functional teams to integrate capabilities.
  • Embed safety filters and copyright checks in products.

Requirements

  • Hands-on experience with tree models, neural nets, and LLM/VLM fine-tuning.
  • Proven track record in building high-throughput, low-latency services.
  • Comfort with uplift metrics and causal inference.
  • Understanding of auction dynamics and advertiser pain points.
  • Experience mentoring high-impact ML teams.
  • Strong communication skills for distilling complex ML concepts.

Benefits

  • Dynamic work environment with a diverse team.
  • Opportunities for professional growth and skill-building.
  • Competitive salary and benefits package.
  • Flexible work arrangements including remote work options.
  • High-impact projects that drive real results.
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Reddit

Reddit is a dynamic online platform that fosters community engagement and discussion across a wide range of topics. As a leading social news aggregation and discussion website, Reddit connects millions of users who share content and participate in conversations. The company is committed to understanding user needs and enhancing the user experience through innovative research and collaboration among cross-functional teams. Reddit values growth and is focused on driving product strategy through actionable insights, making it an exciting place for professionals passionate about user experience and research.

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