Welldoc · 6 days ago
Staff Machine Learning Engineer
Columbia, Maryland, United States
Full-time
Hybrid
Senior Level, Lead/Staff
$175K/yr - $225K/yr
7+ years expWelldoc is at the forefront of digital health, driven by a powerful mission: empowering better cardiometabolic health through AI-powered, personalized digital tech. The Staff Machine Learning Engineer will architect, build, and scale robust machine learning pipelines to support real-time clinical decision-making, serving as the primary technical authority for the ML team.
Artificial Intelligence (AI)DiabetesHealth CareMobile AppsReal TimeSoftwareTherapeutics
Responsibilities
Architect & Build: Design and implement robust, scalable Machine Learning pipelines (for both Classical ML and GenAI) that power our clinical decision-making. You will be hands-on with the code, defining the patterns for how we build, test, and deploy models
Platform Partnership: Collaborate with the Platform Engineering & Data team (India) to define the requirements for our underlying ML infrastructure. You will act as the "Lead Customer" of the platform, ensuring the infrastructure evolves to meet the specific needs of our complex US healthcare datasets and compliance requirements
Set Technical Standards: Act as the primary technical authority for the ML team. You will institute code quality standards, lead deep-dive code reviews, and drive the adoption of best coding practices across both US and Bangalore teams
MLOps & CI/CD Ownership: Define and implement the complete MLOps lifecycle. Architect CI/CD pipelines specifically for AI/ML projects to ensure automated, reliable, and efficient model training and deployment
Global Technical Alignment: Act as the primary technical bridge to the Bangalore ML team. You will foster a unified engineering culture by conducting regular technical syncs and traveling to the India office ( 4-5 times per year) to ensure process and architectural alignment
Production Deployment: Drive production deployment, monitoring, scaling, and maintenance of statistical, deep learning, and generative AI (LLM/RAG) models, ensuring high availability and performance
Governance & Compliance: Create and maintain data governance SOPs to ensure all models and processes conform to strict regulatory standards (e.g., ISO 13485, HIPAA, GDPR, SOC2)
Qualification
Required
7+ years of hands-on software engineering experience, with at least 4+ years dedicated to Machine Learning engineering in a production environment
Proven track record of taking ML systems from 'notebook prototype' to 'highly scalable production service.' You think about latency, inference costs, and system reliability
Deep proficiency in Python and the modern ML stack (PyTorch, TensorFlow, Scikit-learn). Extensive experience with Databricks and Spark for data lake architecture
Proven experience deploying Generative AI models, including LLM and RAG applications, in a production environment
Strong, hands-on understanding of MLOps principles: model versioning, drift monitoring, feature stores, and automated retraining
Experience designing and maintaining CI/CD pipelines using tools like Jenkins, Git, or Azure DevOps
Experience working in HealthTech, FinTech, or other highly regulated industries (ISO 13485, HITRUST, SOC 2) is a strong plus
Willingness and ability to travel internationally (to India) 4-5 times per year to collaborate with the distributed team
Master's or PhD degree in Computer Science, Engineering, Data Science, or a related technical field
Benefits
Generous PTO
Medical insurance
Dental insurance
Vision care
Life and disability insurance
Retirement benefits
The opportunity to participate in health savings accounts and/or dependent care accounts
Company
Welldoc
Welldoc is a digital health platform that helps in managing chronic conditions.
51-200 employees
H1B Sponsorship
Welldoc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (3)
2021 (2)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
$55.15MKey Investors
Johnson & Johnson Robotics and Digital SolutionsSamsung Ventures
2016-03-01Series B· $7.5M
2015-12-17Series B· $22M
2015-07-31Debt Financing· $0.23M
Leadership Team
Keith Reynolds
Chief Operating Officer
Anand Iyer
Chief Strategy Officer
Recent News
2026-01-09
2026-01-03
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2025-12-29
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