Machine Learning Engineer

PicnicHealth

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/07/2021
  • Website: picnichealth.com
  • Company Address:

About PicnicHealth

PicnicHealth is all about making medical records easy to access and using data to power the next frontier of medical research. We’re led by the belief that there’s power in medical information when it’s used well, and that every person has a right to their own theirs. And we've built award-winning machine learning to do it.

Job Description

Overview

PicnicHealth is all about making medical records easy to access and using data to power the next frontier of medical research. We work directly with patients to give them the only tool anywhere that truly provides all of their medical records from any doctor or healthcare system in the US—in an easy-to-use, secure online dashboard. Not only that, but patients can choose to contribute their incredibly important data to scientific research, which helps researchers accelerate breakthroughs in care. To date we’ve helped tens of thousands of patients, partnered with some of the world’s largest biopharma companies, and raised more than $35M from Felicis Ventures, Amplify Partners, Foresite Capital, Refactor Capital, and Y Combinator.

It's an exciting time to join the PicnicHealth team - we just announced our Series B raise and are growing quickly in revenue, partnerships, and people. We 3x'd our ARR two years in a row now and on track to continue this trend, building partnerships with over a dozen Life Sciences groups, including 3 of the top 6 Biopharma firms in the US. We’re going through a period of hyper-growth - we tripled the size of the team in the last 18 months and we’re looking to at least double over the next year. We have a collaborative and engaged team culture that is mission driven and excited about the technology we’re building and real solutions we’re offering patients.

ML at Picnic
 
Machine learning is at the heart of our work. While the healthcare industry is waiting for standards and APIs to take hold, we’re able to create meaningful medical data today through our process for extracting and structuring medical information from records in whatever format they exist in the real world. We ingest medical records (faxes, scans, etc of printouts from EHRs, electronic data from EHRs) and convert them into structured, labeled medical data. Think of what we do as a multi-stage, human-in-the-loop machine learning system. We 1) run OCR to transform the image into text, 2) identify and label regions of the record, and 3) classify medical concepts with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD, etc) and structure relevant attributes. Ultimately, structuring data is just the starting point. We’ll use machine learning to pull insights from medical data and surface the most relevant information to make better decisions around care.
 
We’ve sourced and trained a scalable team of nurses in the Philippines to identify and label data  and have already labeled records from more than 25,000 different doctors. We’re going through a crazy period of 20x growth this year, coming off our recent Grand Prize finish in Google Cloud’s Machine Learning Startup Competition.
 
Learn more about our Engineering Team and values here.  
 
The Role
 
As one of our first dedicated machine learning engineers, you’ll take ownership over our machine learning efforts. We need you to not only build out and deploy models, but also establish best practices, mentor team members, and bring expertise to how we think about machine learning.
 
Responsibilities:
  • Develop machine learning models to improve PicnicHealth’s product and processing efficiency
  • Apply expert software development skills to build intelligent user experiences leveraging machine learning
  • Own the machine learning pipeline — systems for training, versioning, deploying, and testing models
  • Work with product, operations, and sales teams to help define use cases, and develop methodology and benchmarks to evaluate different machine learning approaches
You are a strong candidate if you have:
  • BA/BS degree in Computer Science, related technical field or equivalent practical experience
  • Experience with linear algebra, calculus and statistics
  • Shipped code for 3+ years
  • Leveraged machine learning in production environments 
An ideal candidate has:
  • An MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
  • Exposure to industry or academic research
  • Experience with Python, and Python machine learning tooling, including TensorFlow
  • Exposure to Deep Learning, Gradient Boosting Machines, and other supervised classification methods
  • Large data analysis and visualization experience
  • Experience building web applications
  • Desire to kick ass and save lives

Why join PicnicHealth?

At PicnicHealth you get to solve real problems with real solutions, great tech, and great people. 

You also get:

  • Competitive salary 
  • Comprehensive benefits including Health, Dental, Vision
  • Flexible time off
  • 401k plan
  • Parental leave
  • Free PicnicHealth account
  • Equipment and internet funds while we're working remotely during COVID-19

Due to COVID-19, currently all roles are remote until at least until July 2021. 

Equal Opportunity Statement

PicnicHealth 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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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.