Senior Staff Machine Learning Engineer - Ads Optimization

December 10, 2024

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Reddit, Inc.

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Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• Reddit is a community of communities, home to passionate engagement on the internet. • The Advertiser Optimization team builds ad campaign optimizations driven by machine learning models. • As a Senior Staff Machine Learning Engineer, you'll lead a team to create cutting-edge bidding optimization products. • Collaborate with engineering, product, and marketing teams to understand customer needs. • Design and analyze experiments to assess system impacts and performance improvements.

🎯 Requirements

• 10+ years of contributing high-quality code to production systems that operate at scale. • 2+ years of experience operating as Senior Staff engineer. • 5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems. • Experience leading large engineering teams and collaborating with cross-functional partners is required. • Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred. • Experience with state of the art control systems, reinforcement learning algorithms is a strong plus. • An adept communicator and has experience communicating with and updating executives. • Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar • Data processing frameworks like Spark, Flink, Kafka, Druid, etc. • A cloud service provider like AWS or GCP • Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift • Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery • A machine learning modeling framework like Tensorflow or PyTorch

🏖️ Benefits

• 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