Dive into anything
Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media
August 13
🏡 Remote – Anywhere in California
Dive into anything
Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media
• Ads ML Platform engineers design and implement ML infrastructure solutions for ads modelling teams. • Own and build platform components to improve modelling velocity and infrastructure efficiency.
• 5+ years of hands on experience and deep understanding of infrastructure, especially with scaling and optimizations • 2+ years of hands on experience with ML operations at scale (inference, training, feature serving, feature engineering infrastructure) ideally using well-known frameworks • Experience with building and scaling infrastructure powering ads, recommendation, search, or other distributed systems. • Significant experience in one or more general purpose programming languages (Go, Java, Scala, C++, Python) • Deep expertise in Backend engineering, distributed systems, databases, etc
• Comprehensive Healthcare Benefits • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off
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