Senior / Lead ML Tooling Software Engineer

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 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 Leverage your experience in early stage startups to make informed decisions that balance speed vs quality Focus on designing architectures to solve core problems, not just because it is the latest trend 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 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 Experiences that are big pluses :

• Applying Geospatial libraries and datasets at scale for user-facing applications Developing enterprise PaaS and SaaS products Working in early-stage startup environments Developing on Google Cloud Platform Comfort working in a distributed team environment Please provide a link to your github repo in your CV.
• 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).
• We offer a casual and inclusive working environment, competitive compensation, and great benefits.
• We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets.

Salary range for candidates depending upon level of experience and location :

• $170,000 - $200,000.
• Atlas AI is an equal opportunity employer.
• All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status.
• This role requires eligibility to work in the USA for a US company, and infrequent travel may be required.   Perks & Benefits Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.
• Atlas AI is a 100% remote company 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).
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