Vision Systems Researcher

Vision Systems Researcher

Division: DATUM, Impac Exploration Services Location: Oklahoma City (OK), Houston (TX), San Jose (CA) Type: Full-Time

We're building computer vision systems for environments where most cameras fear to tread. While everyone else is teaching AI to recognize cats and faces, we're teaching it to see patterns in the physical world that determine million-dollar outcomes.

DATUM needs a computer vision researcher who gets excited about novel imaging challenges. You'll work with data streams no one's properly analyzed before, from sensors and imaging systems that weren't designed to play nicely with neural networks. The patterns you'll teach our models to recognize have real-world consequences—this isn't about optimizing click-through rates.

What You'll Build

The Research Reality

You're Our Person If

Especially If

Technical Foundations

We expect fluency in:

Why This Hits Different

Growth Trajectory

Start by solving specific vision challenges. Soon you'll be defining how entire industries should approach visual analysis. Publish papers on approaches others haven't imagined. Build IP that reshapes what's possible with computer vision.

When Meta or Apple tries to poach you for their AR/VR teams, they'll be impressed by problems you've solved that they haven't even encountered yet.

The Reality

You'll work with data that's messy, hardware that's temperamental, and constraints that academic papers ignore. You'll need to understand enough about our domain to know what patterns matter. You'll optimize for inference speed as much as accuracy.

But you'll also pioneer computer vision applications that don't exist anywhere else. You'll see your models make decisions that matter. You'll prove that the most interesting vision problems aren't on Instagram—they're in the physical world.

Ready to See Differently?

Show us computer vision work that went beyond standard datasets. Tell us about a time you made vision work in a challenging environment. Share your thoughts on where industrial computer vision is heading.

We're looking for someone who sees unconventional imaging challenges and thinks "finally, something interesting."