On behalf of Beeswax, Sigma Software is looking for a Middle/Senior Machine Learning Engineer with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our team.
Our customer is a rapidly growing US AdTech company Beeswax. Founded by three ex-Googlers, it has a highly technical team and an excellent technological culture.
Beeswax provides extremely high-scale Bidder-as-a-Service solutions in advertising technology, works with global businesses, and has to date raised $28M (incl. the most recent Series B raise of $15M).
Sigma Software works together with Beeswax to enable the delivery of numerous key components of the platform and is looking for engineers to complement Beeswax engineering team and to drive further development of the platform.
The project is about building the next generation of the real-time bidding software that enables sophisticated marketers to break free from the limitations and constraints of opaque, one-size-fits-all programmatic buying platforms.
In this role you’ll work on a wide range of computational challenges such as: CTR prediction, forecasting, bidding models, and delivery optimization. Our client practices an effective data science process that recognizes the uncertainty in explorations for ML solutions but also emphasizes an agile software engineering workflow. Beeswax uses the most popular tools in the Python data science ecosystem and embraces innovation.
The tech stack is always evolving to meet the challenges of the massive scale of transactions, on which we operate. To manage the firehose of data coming in, the team explores complex tradeoffs and carefully architects high performance distributed systems. Those in turn require elegant and thoughtfully designed interfaces to make the systems accessible to both Beeswax team and their customers.