Atlas AI is hiring a
Senior ML Software Engineer, Remote - Worldwide
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Summary
The job is for a Senior/Lead ML(Ops) Software Engineer at Atlas AI. The candidate will design, develop, deploy, and support cloud-scale training services for GeoSpatial Machine Learning models. They will work with various teams to improve the product roadmap and deliver customer experience. The ideal candidate has 3+ years of experience as a Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, 2+ years as a Backend Software Engineer using Python, GDAL and other GeoSpatial tools, and 3+ years building around Earth Observation use-cases.
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
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
Preferred Qualifications
Demonstrable experience with building distributed computing infrastructure flexible for both on-demand and batch processing
Benefits
- Competitive compensation
- Great benefits
- Casual and inclusive working environment
- Values-driven company
This job is filled or no longer available
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