Onehot Labs
Onehot Labs is a healthcare technology company building cutting-edge machine learning technologies to eliminate administrative waste throughout healthcare systems.
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Data Scientist New York, NY, United States
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Full Stack Engineer New York, NY, United States
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Machine Learning Engineer: Infrastructure-Focused New York, NY, United States
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Machine Learning Engineer: Modeling-Focused New York, NY, United States
Why join us?
Our existing ML service processes more than 50 million medical encounters (and growing) annually.
We are already profitable.
Our team previously worked on Machine Learning at Google across Search, YouTube, Fiber and Analytics.
Engineering at Onehot Labs
Our engineering team currently consists of one of our co-founders (ML Engineer), three ML Engineers and a Full Stack Engineer. Our team operates on two week cycles and engineers typically work directly with the co-founders to spec a feature. As we are looking to transform the medical billing industry, work with our engineers to identify strategic long-term projects that will make a difference. Given the small nature of the team, our engineers are excited to operate with autonomy and are encouraged to define, defend, and drive the technical infrastructure decisions and initiatives they are tackling. We use Pull Requests on GitHub to conduct code reviews. All engineers are also empowered to push code to production, which we often do multiple times a day.
Onehot Labs is a healthcare technology startup building machine learning services from proprietary data that will eliminate human inefficiencies of medical billing. We are applying recent advancements in natural language processing and deep learning to develop a fully automated billing product that saves time and reduces the number of costly human errors.
Develop scalable, cloud-based end to end machine learning data pipelines to change the way medical billing is performed.
Build custom cloud-based application for large-scale data labelling and acquisition from human medical coders.
Develop internal tools that make our machine learning engineers more efficient, from data ingestion to real-time model serving and you will be asked to take on challenges from design and deployment to continuous integration and testing.
Working at Onehot Labs
We are a scrappy team who values getting things done in a smart way and love when any part of our product/process is made more efficient for the next person who will touch it. We all enjoy learning from each other and helping others learn from us. We are all dedicated to building excellent software, but also make sure to pursue passions and enjoy life outside of the workplace - our team currently includes rock climbing enthusiasts, triathletes and board game designers and we would love to welcome new talents to the team.
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Generous Vacation
Onehot Labs has an unlimited vacation policy
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Pet Friendly
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Health Insurance
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401(k) Contribution
We offer a 401(k) matching program for up to 50% of the annual eligible contribution.
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Flexible Hours
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Relocation
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Company Retreats
We aim to have company retreats every quarter, with half of the retreats locally in NYC and the other half at a destination of the team's choosing. Our most recent retreat was to Aspen, CO.
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Maternal/Paternal Leave
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Beautiful Office
We're currently located in WeWork's Greenwich Village location in New York City.
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Other
We offer a pre-tax dependent care FSA.
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Team Activities
We have team lunches every week, dinners monthly, and plan a variety of other team building activities like indoor rock climbing, go karting, and indoor cycling.
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Work from Home
You can work from home whenever you need to.
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Free Food
We sponsor team lunches every Thursday... so bring your appetite!
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Transportation
Our commuter transit benefit allows employees to pay for certain qualified transportation expenses on a pre-tax basis.
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Philanthropic Contributions
We offer 100% matching donations to qualifying 501c3 organizations, up to $200 per year, or you can send a charitable gift card.
External Links
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.