Senior Machine Learning Engineer

The role

You will design, build, and scale machine learning systems that combine structured clinical data with computer vision model outputs. You will own end-to-end development of production ML systems and integrate them into healthcare workflows.

What you will do

• Design, build, and deploy production ML systems for clinical decision support and operational insight.
• Develop ML pipelines that integrate structured clinical or EHR data with outputs from computer vision models.
• Ensure the calibration, robustness, and interpretability of deployed models.
• Implement monitoring, drift detection, evaluation protocols, and retraining or update workflows.
• Partner cross-functionally with product, engineering, clinical, and compliance teams.
• Contribute to regulatory documentation for ML systems.
• Mentor engineers and help establish best practices for applied ML and experimentation.

Required qualifications

• 4+ years building and deploying machine learning systems in production.
• Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliabi
• Strong development skills in Python with testing, CI/CD, and collaborative coding practices.
• Exceptional critical thinking and problem decomposition.
• Familiarity with production ML practices, including monitoring data drift, performance over time, and model health.
• Excellent communication skills and a collaborative, product-oriented mindset.

Nice to have

• M.S. or Ph.D. in a relevant technical field.
• Experience with healthcare data or regulated ML systems.
• Background in multimodal or stacked models, especially combining CV outputs with tabular data.
• Familiarity with survival analysis, time-series, or longitudinal modeling.
• Open-source contributions or published work in applied ML.
• Prior leadership or mentorship experience

Benefits

• Competitive pay
• Equity
• Benefits (flexible PTO)
• Fast paced and collaborative work culture
• Technical challenges on the leading edge of innovation

About the company

Videa is an AI-powered solution for dentistry developed by a team spun out of MIT. The product is used by thousands of dental clinicians to enhance care through faster diagnoses and increased operating efficiencies.