Unlock Geospatial AI Opportunities as a Senior Software Engineer

3 weeks ago


New York, New York, United States Atlas AI Full time
Job Overview

This is a challenging role that involves utilizing your expertise in software engineering and geospatial technology to create impactful solutions for our clients.

The successful candidate will be responsible for leading the development of cloud-scale training services for GeoSpatial Machine Learning models, ensuring seamless integration with existing systems, and collaborating with cross-functional teams to deliver high-quality products.

Skill Requirements:

  • A minimum of three years of experience working with Python, PyTorch, sklearn, and lightgbm.
  • Two or more years of recent work experience as a practicing Backend Software Engineer using GDAL and other GeoSpatial tools deployed in the cloud as serverless applications.
  • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing.
  • Demonstrable experience with Pandas and exceptional interpersonal communication skills.

Key Responsibilities:

  1. Own the design, development, deployment, and support of our cloud-scale training services for GeoSpatial Machine Learning models.
  2. Develop serverless solutions that marry products within and across cloud platforms (e.g., GCP, AWS, Azure) to address customer needs.
  3. Lead client-oriented API design and development.
  4. Work with designers, product managers, and fellow engineers to build APIs to support key functionality and use cases.

Benefits and Compensation:

  • A competitive salary range of $170,000 - $200,000, depending on level of experience and location.
  • A 100% remote work environment with occasional in-person meet-ups in SF, NYC, Nairobi, and Kaunas.
  • Outsized responsibilities and professional development budget.
  • Opportunities to travel to conferences, events, and other industry-led symposiums.
  • Medical, dental, and vision insurance including dependents.
  • Unlimited paid time off, with a target goal of 20 days off per year + public holidays.
  • Paid parental leave.
  • Home office setup allowance, co-working space stipend, and company MacBook.


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