JOB DESCRIPTION – Lead Product Engineer
Ecopia.ai is an industry leading AI company specializing in extracting insights from geospatial big data. Millions of geospatial images are captured every day by satellites, airplanes, and other vehicles - Ecopia leverages AI to converts this flood of pixels into high definition (HD) vector maps and extract insight from HD maps to empower a wide range of decision makers at global scale.
We have built an AI system which significantly reduces the time and cost of creating HD vector maps at scale. To date, we have successfully deployed the AI system to map two continents in their entirety. Now, we are looking to go even bigger: mapping the whole world! We’re seeking passionate, talented engineers to join us at our Toronto office to help us fulfil our mission. You will be working alongside our engineering team to enhance our AI system for creating HD vector map at a global scale and build a map platform on top of the map content to support location based big data analysis . The position is permanent, full-time and will have a highly competitive salary, eligible for stock options, annual salary increases, and bonuses.
Lead the product team to improve our crowd based map annotation platform which we use to collect training data for our AI system
Lead the product team to build API, tools, and applications on top of our map content to support cloud based geospatial big data analysis
Work with algorithm team to enhance our AI system for map creation at a global scale
SKILLS & EXPERIENCE
Bachelor degree or above in Computer Science or related fields
5+ year industry experience in software development
Ability to manage and lead the development of large enterprise product
Strong problem solving, communication, management, and leadership skills
Deep understanding of algorithms, data structures, design patterns, computer architecture and network
Deep understanding of server-side frameworks such as Django and Nodejs
Experience with SQL and database optimization
Experience with technologies such as Hadoop, Spark, Sqoop, Kafka, and Flume
Familiar with front-end techniques such as Vue, AngularJS and React
Experience with web/mobile based map applications is a plus
Ecopia.ai is committed to supporting international applicants and will provide support to the successful candidate, if necessary to obtain work permits.
COMMITMENT TO DIVERSITY AND INCLUSION
Ecopia.ai is committed to fostering a diverse and inclusive working environment. We welcome applications from qualified candidates of all backgrounds regardless of age, physical ability, gender, race, religion, and sexual orientation. We will provide any requested accommodation to candidates with disabilities throughout the recruitment process.