Machine Learning Engineer

Notable is the leading intelligent automation company for healthcare. Customers use Notable to drive patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We don’t just make software.We are on a mission to fix the broken U.S. healthcare system by helping to eliminate the massive administrative burden that is placed on our nation’s healthcare staff. We hire people from diverse backgrounds and are always looking for employees who bring fresh ideas to our space. Passion is paramount, and at Notable, you will get to work with other talented people who aim to set a new standard for innovation in healthcare.Role Summary:As an ML/AI engineer at Notable, you'll work on developing and deploying conversational AI models and agents across text, image and voice modalities, helping users automate tedious but valuable healthcare administrative tasks.What You’ll Do:Work with the product development team and product managers to define scope of work, timeline and product specificationsWork with backend engineers to deploy, maintain and scale AI modelsDefine interfaces between the microservices that runs and delivers AI modelsDiscover, collect, clean and transfer data to train AI modelsExperimentation of different AI models, methodologies, frameworks and communicate critical evaluation metrics to product teamsExplore, refine, improve best practices within the ML teamPush the boundaries of ML and AI and innovate on how to best leverage existing technologies to solve new problemsWhat We’re Looking For:7+ years of experience working in a relevant roleDemonstrated ability to translate business requirements and metrics into machine learning model specificationsQuickly prototype new models from open-sourced code and demonstrate resultsAbility to design and train new model architectures for complex dataExperience working with real-world data: large, messy, incomplete, irregular, etc.Experience working with a mix of structured and unstructured dataProficiency with Python and the standard ML stack (numpy, pandas, scikit-learn)Experience with a deep learning package, e.g. Tensorflow, PyTorchExperience deploying ML models in productionBeware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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