Senior Machine Learning Engineer, Data & Intelligence Products

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Develop, train, and validate predictive and statistical models that transform noisy healthcare data into dependable intelligence products utilized by MedTech commercial teams.

• Articulate open-ended business questions as modeling challenges — choosing the appropriate methodology (classification, regression, clustering, causal inference, ensembles, etc.), defining success metrics, and assessing uncertainty.

• Construct features and perform applied research across various datasets, including time-series, geospatial, demographic, and insurance claims, to enhance the coverage and signal quality of our core data assets.

• Manage the entire model lifecycle: exploratory analysis, baseline modeling, experimentation, validation, deployment, and post-launch monitoring for drift and performance.

• Collaborate with product managers and cross-functional stakeholders to convert customer challenges into model-supported product features and to influence the roadmap.

• Offer technical guidance and mentorship on statistical and ML methodologies to engineers and analysts throughout the Data organization and across all of AcuityMD.

• Document models, assumptions, and data contracts to ensure that results are interpretable and reproducible for both internal and external audiences.

⛳️ Requirements

• You possess 6+ years of experience in machine learning roles, developing and deploying statistical or machine learning models in a production setting, ideally within product teams serving external customers.

• You have a solid grounding in applied statistics and ML — including regression, classification, forecasting, clustering, experimental design, and model evaluation — and understand when to use each method effectively.

• You inherently utilize agentic tools (Claude Code, Codex, etc.) and are dedicated to exploring the possibilities of agentic development.

• You can clearly and succinctly convey technical recommendations and model behaviors to non-technical product, commercial, and customer audiences.

• You have practical experience in merging and blending messy, real-world datasets — including time-series, geospatial, demographic, etc. — and excel at extracting meaningful insights from noise.

• You are adept at working within modern cloud data warehouses using SQL to prepare data for modeling and can effectively collaborate with data engineers on production pipelines.

• You are proficient in Python's data and ML stack and have strong preferences regarding your approaches, techniques, or model implementations.

🏝️ Benefits

• Ground floor opportunity: Join a high-growth startup, supported by world-class investors in 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 dedicated to providing full-remote flexibility for employees in the US, including a work-from-home stipend for all employees.

• Flexible PTO: Generous time off and flexible hours empower you to perform at your best.

• Paid Health, Dental, and Vision Plans: We cover 100% of health, dental, and vision plans for all employees, with 75% coverage for employees' dependents.

• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.

• Optional Team Retreats: We gather in-person multiple times a year for co-working and social events.

• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.