Computer Vision / Machine Learning Specialist

| Greater Denver Area
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GoSpotCheck is 95 of the best and brightest minds in Denver, who all share a common goal: Help large organizations better understand their execution in the field through real-time data collection. Companies with large field teams rely on audits and surveys to measure their performance, but their tools are clunky, outdated, and unreliable. We replace these old school data collection tools, like clipboards and spreadsheets, with an easy-to-use mobile app for field reps and a powerful reporting dashboard for management.  
We are a fast growing enterprise SaaS company with millions of mission responses, tens of thousands of users, and customers in 70+ countries, including market leaders like Pepsico, Beam Suntory, Panera Bread, Dannon, Under Armour and more. With triple-digit year over year revenue growth, and $26m in capital raised, we are poised to continue to grow rapidly and become a market leader in the mobile enterprise space. Our offices are located in the lower downtown district of Denver. We take pride in the work we do, and truly love coming to work every day.
What You’ll Do
  • You’ll leverage your expertise in machine learning, computer vision and image processing to push the GoSpotCheck product lineup into new and exciting use cases. You’ll be the architect and subject matter expert on a growing and dedicated agile team. You’ll take advantage of our large library of constrained images to drive the technical advancements of our image recognition product forward.
What We’ll Achieve
  • Once you’re on the team we’ll take R&D and engineering efforts on the image recognition tool completely in-house.
  • We’ll further develop, expand and enhance the image recognition product’s capabilities to support a broader set of use cases.
  • Our Customers will fill your inbox with thank you notes after we take the scalable image recognition product to the broader market.
  • We’ll rest assured that we have built our image recognition tool on the best technologies available thanks to your passion for discovery and education in emerging tech.
  • You’ll play a key role as we build a strong team of computer vision and machine learning experts, setting us up for further success.
Who You Are
  • You have 5+ years of professional and/or academic experience in areas related to computer vision, machine learning and image processing.
  • You have professional experience building and deploying applications incorporating Python, C, OpenCV and image processing at the pixel level.
  • You have professional experience producing and deploying machine learning applications at scale.
  • You come from a company with institutionalized computer vision applications in the market.
  • You know the domain technology landscape, and can point to other uses and cases that have been successful.
  • You are passionate about teaching others, and are effective in recognizing and tailoring your message to different audiences.
  • You can advise on why and where to utilize different languages, libraries and algorithms to engineer the best outcome.
  • To you, it doesn’t get much better than taking a POC and developing it into an enterprise level application!
  • You collaborate well with both technical and non-technical stakeholders.
  • While not many will outlearn you, you know what you don’t know, and are always transparent in sharing that.
  • You have completed an advanced degree in a technical field.
  • You appreciate and align with our company values.

GoSpotCheck offers competitive salaries and full benefits. We want to work with intelligent and motivated people who share our common values. We go above and beyond to create an atmosphere that allows people to be themselves, grow professionally, and enjoy a laundry list of work perks! We are proud category winners of the 2016 Denver Business Journal’s - Best Places to Work, as well as the 2017 Denver Post’s - Top Workplaces. GoSpotCheck is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.

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Location

While we encourage our team to work how they want and where they want, we just opened a brand new office in the heart of downtown. It is open to anyone who wants a collaborative office environment, a place for team meet-ups and lunches, or just a day off of Zoom!

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