Senior Staff Machine Learning Engineer
π΅ $260k-$365k
πRemote - United States
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Job highlights
Summary
Join Reddit's Advertiser Optimization team as a Senior Staff Machine Learning Engineer and build cutting-edge bidding optimization systems. You will lead a team of 15+ engineers, designing new bid and budget optimization products and algorithms. Leverage your expertise in control systems, reinforcement learning, and machine learning to improve advertiser outcomes. Collaborate with cross-functional teams and contribute to the long-term direction of the team. Reddit offers a flexible work environment, with options for remote work from the US or Canada, and a comprehensive benefits package.
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
- Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar
- Experience with Data processing frameworks like Spark, Flink, Kafka, Druid, etc
- Experience with a cloud service provider like AWS or GCP
- Experience with Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift
- Experience with Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery
- Experience with a machine learning modeling framework like Tensorflow or PyTorch
- An adept communicator and has experience communicating with and updating executives
Responsibilities
- Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry
- Leverage live auction data and model predictions to adjust campaign bids in real time
- Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
- Lead a team of 15+ engineers on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact
- Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution
Preferred Qualifications
- 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
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
- Medical, dental, and vision insurance
- 401(k) program with employer match
- Generous time off for vacation
- Parental leave
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