Senior / Lead ML Tooling Software Engineer

1 week ago


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

Atlas AI is seeking a highly skilled Senior / Lead ML Tooling Software Engineer to join our core team. As a key member of our Software Engineering team, you will be responsible for designing, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists and Machine Learning Engineers to implement Geospatial AI models.

Key Responsibilities:

  • 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 meet the needs of Data Scientists and Machine Learning Engineers.
  • Engage with internal collaborators and end-use partners to understand needs, plan solutions, and lead development of deliverables.
  • Closely collaborate 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) to address customers' needs.
  • Lead client-oriented API design and development.
  • Work with designers, product managers, and fellow engineers to build APIs to support key functionality and use cases.
  • Actively participate in improving engineering standards, tooling, and processes.
  • Leverage experience in early-stage startups to make informed decisions that balance speed versus quality.
  • Focus on designing architectures to solve core problems, not just because it is the latest trend.

Requirements:

  • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, scikit-learn, 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 desire to contribute across cultures in a dynamic global environment.

Preferred Qualifications:

  • 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.

What We Offer:

  • 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 and equity.
  • Outsized responsibilities and 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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