Senior / Lead ML Tooling Software Engineer
3 weeks ago
This role is for a highly skilled Senior / Lead ML Tooling Software Engineer to join our team at Atlas AI. We are seeking an exceptional individual with extensive experience in machine learning, software engineering, and geospatial technologies. The successful candidate will be responsible for designing, developing, deploying, and supporting cloud-scale training services for GeoSpatial Machine Learning models.
About the Role- Design, develop, deploy, and support cloud-scale training services for GeoSpatial Machine Learning models
- Lead the design of serverless solutions that marry products within and across cloud platforms (e.g., GCP, AWS, Azure)
- Collaborate with cross-functional teams to ensure seamless integration with existing systems
- Participate in improving engineering standards, tooling, and processes
- 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
- Competitive compensation package ($170,000 - $200,000)
- Equity options in a rapidly growing company
- Opportunities to travel to conferences, events, and other industry-led symposiums
- Training and development opportunities
- A dynamic and inclusive work environment
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