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The team is responsible for delivering a data analysis and machine learning platform supporting internal and external Data Science teams and data streams at a peak volume of 1.5 million transactions per second. You will be part of our fast-moving and engineering-driven organization with highly motivated engineers who tackle challenges and problems that have never been solved before. This management position is highly visible, will require frequent communication and interactions with our senior leadership team, and will require a driven individual taking on the responsibilities to develop and shape our product roadmap and strategic goals.  Your responsibilities as Manager of Machine Learning Software Engineers are: Be passionate about driving and leading your team to success and help them to excel Grow the Machine Learning Engineering team by hiring as well as developing engineers within your existing team Interface and communicate regularly with our senior management...

About us: Since our inception in 2009, we have been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, we are comprised of two well-known consumer apps, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights (for analysts, based on the world's largest foot traffic panel). With more than 200 people across our offices in New York, San Francisco, and in sales offices around the globe, we’re dedicated to our trailblazing mission—enriching consumer experiences and informing business decisions with location intelligence. About our Engineering Team: As a member of our engineering team, we want you to bring experience building real products from the ground up. We're passionate about tackling tough challenges in the location space and look for others who like to dive deep into code and help...

Since we started in 2012, we’ve expanded to 25 markets and partnered with 100+ retailers across the U.S. Our mission is to transform everyday life by seeking & solving seemingly impossible problems. We are the only grocery service that delivers in as little as one hour. By combining a personal touch with cutting-edge technology, we offer customers a simple solution to save time and buy directly from the retailers they trust. We give customers back their time so they can do more of what they love. We're looking for experienced data scientists to join our fast moving team. We work on a range of interesting and challenging problems, from making sure deliveries are efficient and on-time to helping customers decide what to buy. Data science is at the heart of this effort and an essential ingredient in our aggressive growth plan and vision for the future. We love data scientists who are motivated not only by researching new solutions, but by owning the problem end to end....

Be one of the founding members of our data team and develop our next gen platform. Help us build scalable distributed systems like you'd construct additional pylons in your base. You build those in your sleep, amirite?   What you'll be doing You'll be one of the first members of our Data team. Build the vision and help define the architecture of our new Data platform Help us build a robust and scalable foundation for data, from logging to streaming pipelines, ETL & data consumers. Own and operate our entire data stack using modern technologies such as Apache Beam, Pub/Sub and Airflow. Work closely with our engineers, data scientists and analysts to optimize our data pipelines and establish best practices for table schemas, data models and data storage. Build efficient solutions on top of GCP and AWS using Python, Scala and Go. What you should have Minimum of 4 years experience building scalable backend systems. Experience working on, and deploying,...