Computer Vision and Machine Learning- Based Pet Health Technology In Your Pocket.
Full Stack Engineer East Bay, CA, United States, Los Angeles, CA, United States, New York, NY, United States, San Francisco, CA, United States, Seattle, WA, United States, Silicon Valley, CA, United States, or Remote
Why join us?
We are a team of world-renowned computer vision and image analysis experts from human healthcare who have created patent-pending computer vision models to analyze images to derive health insights, in real time, at home, at the tap of a button – starting with stool and extending beyond.
We're turning smartphones into true real-time health tracking tools for pets – no leashes, collars, or wearables required.
We are Venture Backed and funded to pay compensation for qualified candidates.
We are giving pets a voice in their health and wellness.
Engineering at DIG labs
Today, we operate a team of 3 devs in Argentina. We employ a sprint mindset and approach to strategy, and apply MVP concepts, including test driven development to deliver and ship products. We also employ the continuous delivery approach mindset. Our team is global, nimble, and extremely responsive to customer feedback.
We are building a proprietary computer vision and machine-learning-enabled system that will take traditional laboratory tests that take weeks of supercomputing analysis and reduce the analysis time to 15 seconds by analyzing stool images (to start). We have achieved this by creating features and associating image attributes with laboratory test results to obviate them. We have created 3 proprietary models so far, and are moving on to our next generation of models.
Create the MVP of our pet platform in both web app and native app format - integrating proprietary machine learning models with pet profile and supplement information to create a truly personalized and custom experience for each pet, each visit.
Create an API that can hook into a partner app for veterinary integration or other ecosystem integration (e.g. Food brand, insurance company, dog walker app, etc)
Design a portal for R&D image submission to enable rapid image library expansion in the wild or for a specific clinical test.
Working at DIG labs
We are a scrappy, resourceful, and remote team that thrives on transparency and candor. We are used to a fast paced environment and value quick thinkers who don't mind challenging the status quo. We thrive among visionary thinkers who can also roll up their sleeves to get the job done and focus on a tactic once we align.
Unlimited vacation, mandatory week every 6 months.
We are located in scenic Princeton, NJ where the team congregates at least twice/weekly - otherwise remote work is encouraged.
Work from Home
female founded, venture backed, open to nontraditional career paths.
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.