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Senior Machine Learning Engineer, Data & Intelligence Products

3 weeks, 4 days ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Feature Engineering Machine Learning Python SQL
Apply Now
AcuityMD

AcuityMD

AcuityMD offers a MedTech intelligence platform that integrates precise data, AI-driven insights, and user-friendly workflows to enhance the efficiency and effectiveness of medical device sales teams.

Health Care Providers & Services
51-250
Founded 2018
$38M raised
View All Jobs 17

Description

  • Design, train, and validate predictive and statistical models for healthcare intelligence products used by MedTech commercial teams.
  • Frame open-ended business questions as modeling problems, choose appropriate methods, define success metrics, and quantify uncertainty.
  • Engineer features and conduct applied research across time-series, geospatial, demographic, claims, and other datasets to improve core data assets.
  • Own the full model lifecycle from exploratory analysis and baseline modeling through experimentation, validation, deployment, and post-launch monitoring.
  • Partner with product managers and cross-functional stakeholders to translate customer problems into model-backed product features and influence the roadmap.
  • Provide technical leadership and mentorship on statistical and machine learning methodology across the Data organization and the broader company.
  • Document models, assumptions, and data contracts to ensure results are interpretable and reproducible.
  • Identify and evaluate new approaches and data sources that expand what the platform can predict and explain.

Requirements

  • 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into production.
  • Strong foundations in applied statistics and machine learning, including regression, classification, forecasting, clustering, experimental design, and model evaluation.
  • Experience working on product teams delivering models or data products to external customers is preferred.
  • Hands-on experience merging and blending messy, real-world datasets such as time-series, geospatial, and demographic data.
  • Comfort working in modern cloud data warehouses with SQL and collaborating with data engineers on production pipelines.
  • Fluency in Python's data and machine learning stack.
  • Ability to communicate technical recommendations and model behavior clearly to non-technical product, commercial, and customer audiences.
  • Experience with healthcare datasets such as claims, prescriptions, EHR/EMR, lab results, or patient demographic data is a strong plus.
  • Must have an eligible work permit in the USA.

Benefits

  • Highly competitive cash compensation.
  • Equity.
  • Full remote flexibility for employees in the US.
  • Work-from-home stipend and $1,000 home office stipend for remote equipment and Wi-Fi reimbursement.
  • Flexible PTO and flexible hours.
  • 100% paid health, dental, and vision plans for employees, with 75% coverage for dependents.
  • Reimbursement for relevant learning and up-skilling opportunities.
  • 8-16 weeks of fully paid, flexible parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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