Careers @ Atomic
At Atomic, we are building a unique culture. One that lets you be you, and that lets you focus on what you love: inventing the future of geospatial.
The world is ripe for people like us, who see the application of geography to business. We are finding our way into nearly every industry - from utilities, to logistics, to real-estate. And, we have a unique, highly-differentiated skill set to offer. More importantly, we have unique way of looking at the world. Geography is our lens.
Come and build the next generation of enterprise analytics with us.
Current Contract Openings:
Data Engineer (Junior / I)
We are seeking a Data Engineer (Junior / I) with strong GIS data processing experience and the ability to provide technical support for the product team. This role is ideal for someone early in their career who is excited to work with geospatial data, build scalable data workflows, and collaborate across teams.
You will work closely with our Senior Data Engineer to ingest, clean, validate, and manage geospatial datasets; maintain data pipelines; and ensure reliable data delivery for internal workflows. You will also support internal teams by preparing datasets, troubleshooting issues, and documenting repeatable processes.
Check out the full Job Post.
Machine Learning Engineer
We're seeking a Machine Learning Engineer with strong production ML experience to own the full ML lifecycle, bring models to production, and help us scale our geospatial AI systems. This is a hands-on technical role where you'll build, deploy, monitor, and maintain models in production. You will deploy clean, testable, containerized, and scalable inference workflows to Atomic Flow that serve our customers across imagery, video, and 3D data.
You will work closely with the infrastructure and data engineering teams with a focus on operationalizing our ML and MLOps systems and ensuring they run reliably and effectively in production. This collaborative setup lets you focus on what you do best: developing robust, well-engineered ML systems, fine-tuned for customer use cases, and ensuring they perform reliably at scale.
It's an ideal opportunity for a mid-level engineer with solid ML fundamentals who wants to deepen their production ML skills and gain hands-on MLOps experience in a supportive, fast-moving startup environment.
Check out the full Job Post.
DevOps Engineer
We’re looking for a self-motivated and detail-oriented DevOps Engineer to join our team. Working closely with senior infrastructure and data engineers, you will be responsible for supporting and maintaining our infrastructure, CI/CD processes, and cloud security.
This role is ideal for someone who is eager to learn and grow in the field of DevOps, and has strong principles for cybersecurity best practices. If you are excited to grow your career in a dynamic and supportive environment, we want to hear from you!
Check out the full Job Post.