Accelerate access to medical technology.
Senior Machine Learning Engineer, Data & Intelligence Products
Location
Massachusetts
Posted
42 days ago
Salary
0
Seniority
Senior
Job Description
Senior Machine Learning Engineer, Data & Intelligence Products
AcuityMD
• Design, train, and validate predictive and statistical models that turn noisy healthcare data into reliable intelligence products used by MedTech commercial teams. • Frame open-ended business questions as modeling problems — selecting the right approach (classification, regression, clustering, causal inference, ensembles, etc), defining success metrics, and quantifying uncertainty. • Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datasets, to improve the coverage and signal quality of our core data assets. • Own the full model lifecycle: exploratory analysis, baseline modeling, experimentation, validation, deployment, and post-launch monitoring for drift and performance. • Partner with product managers and cross-functional stakeholders to translate customer problems into model-backed product features and to shape the roadmap. • Provide technical leadership and mentorship on statistical and ML methodology for engineers and analysts across the Data organization and across all of AcuityMD. • Document models, assumptions, and data contracts so results are interpretable and reproducible for internal and external audiences.
Job Requirements
- You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers.
- You have strong foundations in applied statistics and ML — regression, classification, forecasting, clustering, experimental design, and model evaluation — and you know when each is the right tool.
- You instinctively build using agentic tools (Claude Code, Codex, etc) and are invested in pushing the boundaries of what is possible with agentic development.
- You can translate technical recommendations and model behavior clearly and concisely for non-technical product, commercial, and customer audiences.
- You have hands-on experience merging and blending messy, real-world datasets — time-series, geospatial, demographic, etc — and thrive on extracting signal from noise.
- You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines.
- You are fluent in Python's data and ML stack and opinionated about your preferred approaches, techniques, or model implementations.
Benefits
- Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
- Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
- Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
- Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
- Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
- Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
- Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
- Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.
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