PicnicHealth
Machine Learning Engineer
PicnicHealth, San Francisco, California, United States, 94199
[Full Time] Machine Learning Engineer at PicnicHealth (United States)Machine Learning Engineer
PicnicHealth United StatesDate Posted: 17 May, 2023Work Location: San Francisco, United StatesSalary Offered: $150 — $185 yearlyJob Type: Full TimeExperience Required: 6+ yearsRemote Work: YesStock Options: NoVacancies: 1 availableOverviewHealthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — across dozens of diseases — to ultimately get the right treatments into patients’ hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets.The OpportunityMachine learning is at the heart of our work and technical strategy. Our company sifts through the messy mountain of data that captures each patient’s care journey in whatever format it exists in the real world. To do that, we’ve built a human-in-the-loop AI/ML pipeline that ingests medical records and scans, converts them into structured data, and then synthesizes them into a form that is directly useful to patients, clinicians, and researchers.As an ML Engineer you will:Develop machine learning models to improve PicnicHealth’s product and processing efficiency.Apply expert software development skills to help turn newly developed models into deployed services integrated within our application infrastructure.Survey and incorporate recent advances in AI/ML research into our set of core capabilities.Help us expand and improve our machine learning pipeline for scale, including systems for distributed training, versioning, deploying, and testing models.Help expand a world-class ML team by attracting, interviewing, and onboarding future team members.You are a great fit if you:Have a Ph.D. degree in a related technical field such as Computer Science or Physics, or have a bachelors and have built production AI/ML software.Have hands-on experience with technologies in our stack, such as pytorch, kubernetes, and deepspeed.Have worked on all steps required to bring an AI/ML model to production – from ideation to deployment.Have deployed Python code into production for 3+ years.Display a solid understanding of the latest AI/ML research trends and techniques.Perks & Benefits @PicnicHealthAt PicnicHealth you get to solve real problems with real solutions, great tech, and great people. We’re a remote first company, with teammates spread across the US. We aim for quarterly in-person gatherings, expect to travel up to 4 times a year.You also get:Competitive salaryComprehensive benefits including above market Health, Dental, VisionFamily friendly environmentFlexible time off401k planFree PicnicHealth accountEquipment and internet funds for home office set upEqual Opportunity StatementPicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.
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PicnicHealth United StatesDate Posted: 17 May, 2023Work Location: San Francisco, United StatesSalary Offered: $150 — $185 yearlyJob Type: Full TimeExperience Required: 6+ yearsRemote Work: YesStock Options: NoVacancies: 1 availableOverviewHealthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — across dozens of diseases — to ultimately get the right treatments into patients’ hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets.The OpportunityMachine learning is at the heart of our work and technical strategy. Our company sifts through the messy mountain of data that captures each patient’s care journey in whatever format it exists in the real world. To do that, we’ve built a human-in-the-loop AI/ML pipeline that ingests medical records and scans, converts them into structured data, and then synthesizes them into a form that is directly useful to patients, clinicians, and researchers.As an ML Engineer you will:Develop machine learning models to improve PicnicHealth’s product and processing efficiency.Apply expert software development skills to help turn newly developed models into deployed services integrated within our application infrastructure.Survey and incorporate recent advances in AI/ML research into our set of core capabilities.Help us expand and improve our machine learning pipeline for scale, including systems for distributed training, versioning, deploying, and testing models.Help expand a world-class ML team by attracting, interviewing, and onboarding future team members.You are a great fit if you:Have a Ph.D. degree in a related technical field such as Computer Science or Physics, or have a bachelors and have built production AI/ML software.Have hands-on experience with technologies in our stack, such as pytorch, kubernetes, and deepspeed.Have worked on all steps required to bring an AI/ML model to production – from ideation to deployment.Have deployed Python code into production for 3+ years.Display a solid understanding of the latest AI/ML research trends and techniques.Perks & Benefits @PicnicHealthAt PicnicHealth you get to solve real problems with real solutions, great tech, and great people. We’re a remote first company, with teammates spread across the US. We aim for quarterly in-person gatherings, expect to travel up to 4 times a year.You also get:Competitive salaryComprehensive benefits including above market Health, Dental, VisionFamily friendly environmentFlexible time off401k planFree PicnicHealth accountEquipment and internet funds for home office set upEqual Opportunity StatementPicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.
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