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Applied Science Talent Community

CrossnoKayeRemote🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationRemote, United States
Machine Learning

Job description

Join the CrossnoKaye Applied Science Talent Community!

Interested in working with the CrossnoKaye team but don’t see an opening that aligns with your experience right now? You’re in the right place! This posting is for our Science Talent Community, a place where you can share your information and let us know you’re interested in staying connected.

At CrossnoKaye, we’re building technology that transforms how heavy industrial systems operate, bringing intelligence, visibility, and efficiency to environments that have historically been underserved by modern software. Our Applied Science team sits at the intersection of machine learning, optimization, and control systems - developing the models and algorithms that power our platform, ATLAS.

This team focuses on applying advanced methods to real-world systems, designing and deploying solutions that directly impact industrial operations. Work spans simulation, modeling, and closed-loop control, with a strong emphasis on turning data-driven insights into scalable, production-ready systems.

If you’re excited about applying advanced methods to real-world problems, and enjoy working across disciplines to bring ideas from concept to deployment—we’d love to stay in touch.

What happens when you apply?

We’ll review your background and keep your information on file, noting your experience based on where you might be a strong fit across our Science team. You may even hear from us proactively if we see a strong potential match.

Thank you for your interest in CrossnoKaye! We appreciate you taking the time to connect with us.

We are an equal opportunity employer and we welcome applications from all backgrounds. We seek to build a diverse pool of applicants that will help to push our company forward. We believe that our true success will come from a diverse, dynamic, and inclusive environment. We seek and will consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other classification protected by law.

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