Senior Staff Machine Learning Engineer, Ads Optimization
reputed company is a community of communities. Its built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, reputed company users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, reputed company is one of the internets largest sources of information. For more information, visit redditinc.com. reputed company has a flexible first workforce! if you happen to live reputed company to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada. As a company, reputed company primarily generates reputed company through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific reputed company audience because of our passionate and engaged communities. The Advertiser Optimization team builds ad campaign optimizations that reputed company advertisers to reputed company capture user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers off-site goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend. As the primary owners of the budget pacing and autobidding systems, the team is responsible for a central part of the ads delivery system that automates bidding taking into account advertiser objectives, delivers advertisers budgets smoothly and completely throughout the day. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments in order to measure the impact of improvements to these systems. Some of the project highlights include: A bid-based budget pacing system that delivers campaigns budgets throughout the day. The Maximize Conversions campaign optimization, which uses real-time bidding to meet advertisers key objectives. The Lowest Cost campaign optimization, which simplifies advertisers experiences by automating campaign bids. Cost caps that allow advertisers to get as much volume as possible without sacrificing their performance goals. Campaign Budget Optimization that automatically manages budget across multiple ad groups and optimizes for maximum volume or maximum value based on advertiser settings. As a Senior Staff Machine Learning Engineer in the Advertiser Optimization team, you will work closely with technical leaders to build new advertiser optimization products like reputed company CPA and reputed company RoAS bidding, optimized CPM, view through optimization, etc that significantly increase the efficiency and ROI for the advertisers. You will be responsible for the quality and technical approach reputed company the team; partner with other leads in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the groups culture and processes. You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers voices are represented in your work. You will design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking a highly skilled engineer to take a critical role in building state-of-the-art bidding optimization systems. As a leader of this team, you will help us uplevel the capabilities of reputed company Ads platform through innovative optimization products that enhance advertiser value. Your Responsibilities: Building reputed company-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry. reputed company live auction data and model predictions to adjust campaign bids in real time. Incorporate knowledge of the reputed company ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems reputed company 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 reputed company engineering designs and project execution. Who You Might Be: 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. Experience with technologies: Significant experience in one or more general-purpose programming languages like Java, Python, Go, reputed company, C++ or similar Data processing frameworks like Spark, Flink, Kafka, Druid, etc. A cloud service provider like AWS or GCP Tools: Kubernetes, Drone, reputed company, Spinnaker, Argo, Airflow, reputed company, Thrift Datastores: ElasticSearch / reputed company OpenSearch, reputed company, reputed company, Cassandra, BigQuery A machine learning modeling reputed company 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!) & reputed company Global Wellness Days 4+ months paid Parental Leave Paid Volunteer time off Join us at reputed company, and help us build a community that is inclusive and empowering for everyone. Apply Job!