Senior Machine Learning Tooling Software Engineer

April 4

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Atlas AI

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Atlas AI is a technology company specializing in AI-driven geospatial solutions. Their platform offers hyperlocal socio-demographic indicators, demand forecasting, and geo-referenced data analysis to pinpoint market opportunities and empower data scientists. Atlas AI provides solutions for industries such as logistics, transportation, industrial site monitoring, and market micro-segmentation. Their tools are designed to enhance business resilience, supply chain agility, and infrastructure deployment using advanced geological AI models and insights. With a focus on change detection and market segmentation, Atlas AI helps its clients manage future opportunities and risks in a rapidly changing planet.

AI • Satellite Imagery • Agriculture • Intelligence • Impact Investment

11 - 50 employees

🤖 Artificial Intelligence

🚗 Transport

📋 Description

• As the Senior / Lead ML Tooling Software Engineer, you will be part of the core team defining, building, testing, and delivering our GeoAI platform. • 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.

🎯 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 and desire to contribute across cultures in a dynamic global environment.

🏖️ Benefits

• Fast-paced and team-oriented environment where you will be instrumental in the direction of the company. • 100% remote with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania). • Competitive compensation & equity. • Outsized responsibilities & professional development budget. • Opportunities to travel to conferences, events and other industry-led symposiums. • Training is foundational; functional, customer immersion, and development training. • 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. • Opportunities to co-author research papers and patents (role-dependent).