Senior / Lead ML Tooling Software Engineer

3 weeks ago

Washington, Washington, D.C., United States Atlas AI Full time
Job Overview

We are seeking a highly skilled Senior / Lead ML Tooling Software Engineer to join our team at Atlas AI. As a key member of our Software Engineering team, you will be responsible for designing, developing, and deploying cloud-scale training services for GeoSpatial Machine Learning models.

Key Responsibilities:

  • Own the design, development, and deployment of cloud-scale training services for GeoSpatial Machine Learning models.
  • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that meet the needs of Data Scientists and Machine Learning Engineers.
  • Engage with internal collaborators and end-use partners to understand needs, plan solutions, and lead development of deliverables.
  • Closely collaborate with Solutions, Engineering, and Innovation teams to deliver customer experience and market insights.
  • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) to address customer needs.
  • Lead client-oriented API design and development.
  • Work with designers, product managers, and fellow engineers to build APIs to support key functionality and use cases.
  • Actively participate in improving engineering standards, tooling, and processes.
  • Leverage experience in early-stage startups to make informed decisions that balance speed vs quality.
  • Focus on designing architectures to solve core problems, not just because it is the latest trend.

Requirements:

  • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn, and lightgbm.
  • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL, and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo).
  • At least three or more years of recent work experience building around Earth Observation use-cases.
  • Technical ownership of key areas of a Product, such as one or two critical services.
  • Demonstrable experience with Python, Pandas, PyTorch, GDAL.
  • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing.
  • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing.
  • Exceptional interpersonal communication, both written and oral.
  • Independence and ownership of work in an entrepreneurial, start-up environment.
  • Intellectual curiosity and desire to contribute across cultures in a dynamic global environment.

Preferred Qualifications:

  • Applying Geospatial libraries and datasets at scale for user-facing applications.
  • Developing enterprise PaaS and SaaS products.
  • Working in early-stage startup environments.
  • Developing on Google Cloud Platform.

We are a highly values-driven organization, guided by our core principles of Integrity, Innovation, Impact, Collaboration, and Empowerment. If you are passionate about using technology to solve critical global challenges and are eager to contribute to a mission-driven company, Atlas AI is the place for you. Join us and be at the forefront of innovation, helping to build a more resilient and equitable future.

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