Software Engineering Manager - Mapping And Geospatial ML/AI Services

• MS in machine learning, computer vision, robotics, or related field
• 7+ years of relevant engineering experience building complex, high-performance, and highly-available distributed software systems in machine learning, computer vision, robotics, or related field
• 5+ years of people management experience

Interested in building Machine Learning (ML) and Artificial Intelligence (AI) solutions for mapping and geospatial applications?

Our team's mission is to make machine learning easy, stronger, and universal across data driven products and businesses. We live in a time wherein mapping, location, and geospatial data has become ubiquitous. Cloud computing has made it easy to gather and process location and geospatial data generated by satellites, mobile devices, and also IoT devices. Our vision is to bring the best ML/AI algorithms to mapping and geospatial data and problems.

Building high quality mapping applications requires a unique combination of humans and ML/AI algorithms. We specialize in developing managed ML/AI services such as SageMaker and also Human-in-loop (HIL) ML/AI services such as SageMaker Ground Truth, Amazon Augmented AI for model inference, and Mechanical Turk for crowd intelligence. Our strategy is to bring the best of ML based automation to machine learning engineers and data scientists build mapping, geospatial, and location aware applications.

We are seeking an experienced Software Development Manager for the Mapping and Geospatial ML/AI services team. In this role you are also expected to develop and grow the software engineers and applied scientists on your team, and be a role model for Amazon Leadership Principles. Strong technical skill and experience with machine learning, computer vision, or robotics is required. Experience working with location, mapping, and geospatial data is a plus. Our customers are strongly technical and the solutions we build for them are strongly coupled to technical feasibility. If you are ready for the challenge, come and help us design the future.

• Ph.D in machine learning, computer vision, robotics, or related field
• Experience working with location, mapping, and geospatial data is a plus.
• Experience managing both Software Development Engineers and Machine Learning Scientists or Applied Scientists

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.