Senior Machine Learning Engineer

Videa.ai
Boston, New York
Workplace: HybridFull timeUSD 170,000 - 205,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Collaboration","Problem-solving","Mentorship"]

Lead end-to-end production ML systems for healthcare applications, integrating clinical data with computer vision outputs to enable accurate, explainable, and robust decision support and operational insights. Own deployment lifecycle, collaborate with product, engineering, clinical, and compliance teams, and mentor engineers while advancing healthcare ML practices.

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FursaFursa
Videa.ai
Videa.ai
2 months ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Lead end-to-end production ML systems for healthcare applications, integrating clinical data with computer vision outputs to enable accurate, explainable, and robust decision support and operational insights. Own deployment lifecycle, collaborate with product, engineering, clinical, and compliance teams, and mentor engineers while advancing healthcare ML practices.
Location: Boston, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •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 calibration, robustness, and interpretability of deployed models with clinician-facing explanations.
  • •Implement monitoring, drift detection, evaluation protocols, and retraining/update workflows for production systems.
  • •Partner cross-functionally with product, engineering, clinical, and compliance teams to define requirements and integrate models into live workflows.

Pay and Benefits

Salary: USD 170,000 - 205,000 annually
Equity and Bonus:Equity
Perks:EquityPaid Leave

Key Requirements

  • •4+ years building and deploying machine learning systems in production, ideally with real-world or clinical data.
  • •Deep, demonstrable expertise in at least one area of ML engineering (predictive/tabular modeling, multimodal systems, training/inference infrastructure, or model evaluation and reliability).
  • •Strong development skills in Python with testing, CI/CD, and collaborative coding practices.
  • •Excellent communication and a collaborative, product-oriented mindset.
  • •Familiarity with production ML practices, including monitoring data drift, performance over time, and model health.
Experience:4+ yearsHealthcareHealthtechDental
Skills:CommunicationCollaborationProblem-solvingMentorship
Languages:English
Tech Stack:PythonCI/CDMachine learningEHRComputer vision

Company Brief

Videa.ai
Develops AI-powered medical imaging software to assist radiologists with detection, quantification, and workflow automation for diagnostic imaging. Their tools aim to improve accuracy and efficiency across modalities such as X-ray and mammography.
Industry: HealthTech
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