Videa.ai

1 month ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 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

Website

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Videa.ai

1 month ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

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

Industry: HealthTech

Website