Machine Learning Engineer

Jan. 8, 2021


$125,000 - $180,000 / yr

About Alaffia:
At Alaffia, we sit right at the intersection of heathtech and fintech. We automate health insurance claim audits to determine the true underlying value of healthcare claims. By doing so, we’re able to ensure the accuracy of healthcare claim payments.

The Problem & Our Mission
The U.S. healthcare system suffers from over $300B in improper payments each year due to fraud, waste, abuse, and processing errors. We’re on a mission to change that. To best prevent and recover improper payments, we’ve assembled a team of experienced technologists and industry-leading healthcare domain experts. The Alaffia team has alumni ranging from Amazon, Goldman Sachs, Cotiviti, the Centers for Medicare and Medicaid Services, and other leading healthcare and financial institutions. We’re also backed by leading venture capital firms and a graduate of ERA.

If you want to make a major impact at the core of U.S. healthcare by implementing the latest in cutting-edge technologies, then we’d like to meet you.

Our Culture
At Alaffia, we fundamentally believe that the whole is more valuable than the sum of its individual parts. Further to that point, we believe a diverse team of individuals with various backgrounds, ideologies, and types of training generates the most value. Our people are entrepreneurial by nature, problem solvers, and are passionate about what they do — both inside and outside of the office.

*Location: New York, NY preferred (remote works too)

About the Role & What You’ll Be Doing
Alaffia’s core value is derived from our health insurance payments data. Data is an instrumental part of our platform, and we’re looking for a talented engineer to help lay the foundations as part of our founding team. We’re looking for someone who loves the details -- the challenges of feature engineering, model training, performance engineering, scalability, and system architecture. In this role you’ll have the opportunity to build a data platform with real social and economic impact. You’ll be making a dent in the struggles of our nation’s healthcare payments system from your first day.

Your Responsibilities

Reporting directly to our CTO, you’ll be:

  • Writing production-level machine learning models
  • Building end-to-end services that leverage data science techniques at their core
  • Developing engineering solutions that incorporate the best of existing and nascent technologies to identify improper charges and patterns of fraud, waste, and abuse in healthcare payments
  • Using tools like Jupyter notebooks and wrangling data frames using Pandas to discover insights, and turning these learnings into statistical inference methods, and features for machine learning models
  • Using a variety of technologies such as NLP and OCR to analyze unstructured medical claim data
  • Engaging in infrastructural and architectural decisions that enables scalability of the data platform to support computation on millions of data points
  • Working closely with our backend engineering team to implement new APIs and services to be deployed to our infrastructure
  • Collaborating with our Auditing team which consists of experts in medical billing and clinical settings, to incorporate their expertise into development
  • Collaborating with our frontend and backend engineering teams to design solutions that collect the right feedback data (labels) from manual claim auditing

What We’re Looking For


  • 2-4 years of experience (5+ years is a plus)
  • Experience building out production-ready machine learning solutions

Experience with:

  • Natural Language Processing (NLP)
  • Python, SciPy, PyTorch or Tensorflow
  • Performant SQL Others:
  • Team development, Agile development
  • Production deployments
  • AWS, GitHub, CI/CD

Nice to Have
Experience with:

  • Backend development languages such as C++, Java, or Go
  • Postgres
  • Apache Spark, especially PySpark
  • Pandas
  • AWS technologies such as SageMaker, Comprehend, & Textract Exposure to:
  • Rust
  • Optical Character Recognition (OCR) (e.g. Tesseract)
  • Healthcare software systems such as Epic EHR

What Else Do You Get Working With Us?

  • Competitive compensation package (cash + equity)
  • Benefits: medical & dental
  • Flexible vacation policy
  • Work in a flat organizational structure — direct access to management

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