About Us

KeyMe is reinventing the $12 billion locksmith services industry with advanced robotics and AI, building the world’s most trusted brand in “access solutions”. Our network of self-service kiosks are located in thousands of retail locations across the country (IKEA, Bed Bath & Beyond, Albertsons, Kroger, RiteAid, Menards, etc.) supporting duplication of brass keys as well as sophisticated electronic keys such as RFID and vehicle transponder keys. Our kiosks are complemented by KeyMe locksmiths who provide unrivaled service quality for emergency lockouts and other skilled access and home services.  

KeyMe is growing rapidly and has raised over $100M from top-tier investors like BlackRock, Comcast Ventures, and Battery Ventures

 

About the Role

KeyMe sits at the intersection of machine learning, computer vision, software, and mechanical design.  Our robotic self-service kiosks scan and duplicate thousands of keys per day.

Our machine intelligence team is looking for a mid-senior level Computer Vision Engineer to help keep our thousands of robotic kiosks functioning correctly. Reporting to the Director of Machine Intelligence Learning you will work on our computer vision applications including object classification, segmentation and localization.

We use CV to solve most of our problems here, from kiosk calibration, quality control of our robots, mail order fulfillment, to diagnostics. You’ll get to leverage your skills against a diverse problem set alongside smart, motivated colleagues who want to win.

KeyMe engineering manages a massive surface area -- from kiosk touchscreen UX, to backend order management tools, to robotics and embedded systems, to data engineering and analysis. We offer an extremely broad range of engineering activities that ensure you’ll never be bored in your career.

What You'll Be Doing:

  • Developing core computer vision software with an eye for scale and usability
  • Improving the calibration of remote kiosks
  • Building tools to accurately diagnose problems with remote machinery
  • Picking cool names for systems you design

How We Know You Can Do It:

  • 1-2 years developing computer vision applications and camera calibration routines
  • Familiarity with libraries like OpenCV
  • Strong understanding of a modern programming language, preferably Python
  • Knowledge of at least one machine learning framework (e.g. Tensorflow)
  • Experience with git or other DVCS
  • Masters degree in Computer Science or a related field or equivalent experience

Experience:

  • Experience with developing computer vision applications for manufacturing and calibrating applications
  • AWS or docker experience 

Bonus Points:

  • Experience in developing machine learning applications

Benefits:

  • Health, dental, and vision insurance
  • 401K plan
  • Stock options
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • Commuter Benefits
  • Snacks and drinks in the office
  • Paid Time Off
  • Casual dress 

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