Remote Senior, Lead ML Tooling Software Engineer

Summary

Join Atlas AI as a Senior/Lead ML Tooling Software Engineer and be part of the core team defining, building, testing, and delivering our GeoAI platform. As the Lead ML Tooling Software Engineer, you will own the design, development, deployment, and support of our cloud-scale training services for GeoSpatial Machine Learning models.

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

Responsibilities

• Own the design, development, deployment and support of our 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 “just work” for how DS and MLE approach GeoSpatial problems in the real world
• Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables
• Close the feedback loop 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) that address customers’ needs
• Lead client-oriented API design and development
• Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases
• Actively participate to improve engineering standards, tooling, and processes

Benefits

• Medical, dental, and vision insurance including dependents (exact benefits vary by region)
• Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)
• Paid parental leave (exact benefits vary by region)
• Home office setup allowance, co-working space stipend, and company MacBook
• Monthly wellness benefit