Senior ML Tooling Software Engineer

6 days ago


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

{"Job Overview": "At Atlas AI, we are pioneering the use of advanced geospatial data and AI to tackle some of the most pressing challenges of our time.", "Key Responsibilities": "As the Senior / Lead ML Tooling Software Engineer at Atlas AI, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models.", "Requirements": "We are looking for a highly skilled Data Scientist or Machine Learning Engineer with experience in building distributed computing infrastructure flexible for both on-demand and batch processing, using Python, Pandas, PyTorch, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo).", "What You'll Bring": "Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, and 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).", "Perks & Benefits": "Fast-paced and team-oriented environment where you will be instrumental in the direction of the company, competitive compensation & equity, and opportunities to travel to conferences, events and other industry-led symposiums.", "Why Join Us": "At Atlas AI, you'll be part of a dynamic team dedicated to making a tangible impact on the world, using technology to solve critical global challenges and are eager to contribute to a mission-driven company.", "Company Overview": "Our technology addresses two critical gaps: the lack of granular, up-to-date information on local development trends, and the difficulty most organizations face in building predictive models with geospatial data.", "Technical Requirements": "Technical ownership of key areas of a Product, such as one or two critical services, and experience with building distributed computing infrastructure flexible for both on-demand and batch processing.", "Location": "We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person).", "Salary Range": "$170,000 - $200,000.", "Job Type": "Full-time.", "Language": "English."}



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