AcuityMD - Senior Machine Learning Engineer, Data & Intelligence Products
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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 • Experience with healthcare datasets, such as medical insurance claims, prescriptions, EHR/EMR, lab test results, or patient demographic data, is a strong plus • You must have an eligible work permit in the USA to be considered for this position. • AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided.
Responsibilities
• 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
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). • Ground floor opportunity • Learning Budget: Reimbursements for relevant learning and up-skilling opportunities. • Learning Budget: • 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. • Remote work • Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work. • Flexible PTO • 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. • Paid Health, Dental, and Vision Plans: • Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings. • Optional Team Retreats: • Parental Leave: 8-16 weeks of fully-paid, flexible parental leave. • Parental Leave:
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