Applied ML Engineer Role

As an Applied Machine Learning Engineer, you will play a key role in building the prediction engine that powers Anomaly's products to make healthcare payments more efficient. This includes executing cutting-edge ML techniques; training and testing models on hundreds of millions of data-points; and helping build-out a state-of-the-art human-in-the-loop ML infrastructure.

In this role, you will closely collaborate with other data scientists, members of the platform engineering term, and payments domain experts as we build products to streamline healthcare payments and reduce cost and complexity.

You will report directly to the Head of Data Science. The role is open to fully remote candidates who are US-based, with an expectation of occasional travel to our NYC headquarters.

What you'll do:

• Write production-level machine learning models
  • Executing cutting-edge ML techniques to predict insurance payment amounts, denials, and overpayments with high precision, recall, and explainability.
    Making infrastructural choices in order to ensure that the trained models scale well across hundreds of millions of health insurance claims.

• Collaborate with the team to build internal tools to support our company mission
  • Working with domain experts in the health insurance field to incorporate their knowledge into trained models.
  • Building interactive internal tools to obtain expert feedback for the purposes of model validation.

• Have strong impact on innovative engineering projects
  • Running unsupervised anomaly detection on millions of heterogeneous health-insurance features using PySpark.
  • Shining a bright light on black-box models to make all anomalous signals easily interpretable.
  • Interacting with domain experts and encoding their experience into simple heuristics. Pushing these heuristics to production for the purposes of weak supervision.
  • Training large-scale, weakly-supervised ML models using tools like Snorkel. Making sure these models are interpretable.
  • Tweaking models using expert feedback. Building dashboards to solicit that feedback using human-in-the-loop training techniques.
  • Experimenting with transformer model applications using the Pytorch / Tensorflow libraries.

What you'll need:

• Background
• Standard knowledge of Python data-science stack
• 5+ years in software engineering experience
• Hacker mindset
• Experience building out production-ready machine learning solutions

• Nice To Have
  • Exposure to PySpark, PyTorch, Snorkel
  • Experience working in a fast-paced, innovative environment

Apply here, or reach out to careers@findanomaly.com with questions.

Life at Anomaly

Headquartered in NYC with a strong remote team, Anomaly brings together a diverse group deeply committed to our mission to bring streamline healthcare. Data scientists, engineers, clinicians, and more work together to realize a future where healthcare payments flow with precision. We live by our values, which help us accomplish more and create a workplace we love.

Anomaly's Values

• Move with urgency: Our customers needed our product yesterday. We move fast—but not too fast—to bring our solution to market
• Be willing to sit on the floor: No one is too senior to jump in and get the job done
• Think 10x: We celebrate incremental improvements, but we always look for the step-function win
• Seek feedback at 30%: We ask for feedback uncomfortably early, and offer it proactively (and respectfully) to others
• Default to open: We internally share everything we can, creating a culture of trust and empowerment
• Be kind: We take our work seriously, but we’re never too busy to be kind

As a Staff Software Engineer you will play a key role in building the core platform that powers Anomaly's predictive products to make healthcare payments more efficient. This is a back-end systems role with room to focus on one or more areas including: building high volume, low latency APIs; creating robust data and ML pipelines; and building tools to accelerate our fundamental research and development.

In this role, you will closely collaborate with other engineers, PhD-level data scientists, and payments domain experts as we build products to streamline healthcare payments and reduce cost and complexity.

You will report directly to the CTO. The role is open to fully remote candidates who are US-based, with an expectation of occasional travel to our NYC headquarters.

What you'll do:

• Build integrations to healthcare and financial systems
  • Automate end-to-end ingestion and data delivery pipelines with an eye towards observability and data quality
  • Create robust integrations with partner health care systems by thinking through and intentionally addressing failure modes upfront

• Build production-level machine learning products
  • Produce features in both our PySpark offline training pipeline and online serving API
  • Help the team train and test our models on billions of data points in reasonable wall clock and CPU time
  • Continuously measure model performance drift and automate the mitigation strategies
  • Maintain our tight API latency SLAs while executing dozens of predictions per HTTP request
  • Expect the unexpected and build system designed to deal with bad input and unreliable networks
  • Build well tested, reusable tools to accelerate our research and development efforts

What you'll need:

• Background
• 6+ years of professional software engineering experience
• Prior experience as technical leader
• Ability to write idiomatic, testable and maintainable code in Python, Java or Scala
• Hacker mindset

• Nice To Have
  • Expertise building reliable data and ML pipelines with SQL, Spark or Airflow
  • Expertise building online ML products
  • Expertise building high volume, low latency APIs

Apply here, or reach out to careers@findanomaly.com with questions.

Life at Anomaly

Headquartered in NYC with a strong remote team, Anomaly brings together a diverse group deeply committed to our mission to bring streamline healthcare. Data scientists, engineers, clinicians, and more work together to realize a future where healthcare payments flow with precision. We live by our values, which help us accomplish more and create a workplace we love.

Anomaly's Values

• Move with urgency: Our customers needed our product yesterday. We move fast—but not too fast—to bring our solution to market
• Be willing to sit on the floor: No one is too senior to jump in and get the job done
• Think 10x: We celebrate incremental improvements, but we always look for the step-function win
• Seek feedback at 30%: We ask for feedback uncomfortably early, and offer it proactively (and respectfully) to others
• Default to open: We internally share everything we can, creating a culture of trust and empowerment
• Be kind: We take our work seriously, but we’re never too busy to be kind