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Amazon
Are you fascinated with the idea of creating a digital representation of the world? What about building learning systems to create the most precise and accurate representation? Join the Geospatial team to build Maps for Amazon.
We build learning systems to identify road networks, POIs, and geocodes of addresses worldwide. Our delivery operations use these systems to determine the locations and plan the routes for delivery. Drivers use these systems to navigate to the delivery locations. Our mission is to vend geospatial data (e.g. maps, traffic, addresses, and locations/geocodes) that is detailed and fresh through an intuitive experience that enables every driver – independent of tenure and affinity – to succeed in their delivery tasks.
We are not creating another consumer-grade mapping solution, we are building systems that enable depth focused solutions. For example, we are interested in not only getting a person to an address like 300 Boren Ave N, we are also interested in guiding them where to park, where the building entrance, find out if there is a mailing room in the building that is open at that time, and guide them to that mailing room or alternative delivery location at the customer unit based on various factors. The level of detail we provide on the delivery journey is leading in the mapping industry. Our geocodes also dictate how to optimally group the packages for that stop based on proximity and walk times, which significantly impacts route plan and stop plan efficiencies. Several of these problems require us to build systems that can work with an ensemble of ML models as well as support the right segmentation of inputs to make good estimates on the outputs.
There are several unsolved or partially solved problems in this space; such as parsing and managing both structured and unstructured addresses in various countries, modeling building entrances and unit access in multi-unit buildings, optimal polygonal geofence guardrails, and multiple delivery locations with business and transportation mode awareness.
The technical domain is multi-faceted. We build low-latency, highly-available services, we build big data processing pipelines to refresh or produce new data, we train ML models, and we run science experiments. We also build platforms for these capabilities, ranging from state-of-the-art ML platforms to modeling, storing and managing large amounts of data.
Our key output metrics include location accuracy, coverage, and predictive accuracy of service and transit estimates. We also measure the operational impact of these inputs on delivery success and transporter experience.
If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.
Key job responsibilities
As a software development manager, you will lead a 2-pizza team leading multiple high-impact initiatives in the Geospatial realm. You will work with multiple stakeholders and partner teams while working on deep big data problems.
A day in the life
Manage priorities in a dynamic output-driven environment, guide team members to grow them, align deliverables across multiple teams and stakeholders, review and guide the team on architecture and technical designs and decisions, drive operational excellence and think big.
About the team
The broader Geospatial organization covers Amazon Maps, driving and walking time estimation and the transporter navigation experience. This team focuses on destination related data and locations for places, floors and building layouts, parking, building entries, delivery locations and other waypoints throughout the transporter delivery journey. We build systems that learn, ingest, rank, measure, and vend location related data for various Amazon Transportation usecases.- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
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