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Senior Machine Learning Engineer (New York)

Senior Machine Learning Engineer (New York)

VNS HealthNew York, NY, US
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Overview

Are you passionate about shaping the future of healthcare through machine learning? Were looking for a Senior Machine Learning Engineer who thrives at the intersection of cutting-edge ML and large-scale production systems. In this role, you'll be pivotal in designing, deploying, and scaling real-world ML services that drive better clinical and business outcomes.

Youll work alongside data scientists, engineers, and domain experts to build scalable ML solutions using tools like AWS SageMaker, Airflow, GitLab CI , and dbt on Snowflake / Redshift . Your work will span the full ML lifecyclefrom feature engineering and training pipelines to inference, monitoring, and continuous improvement.

What We Provide

  • Referral bonus opportunities
  • Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
  • Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability
  • Employer-matched retirement saving funds
  • Personal and financial wellness programs?
  • Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care??
  • Generous tuition reimbursement for qualifying degrees
  • Opportunities for professional growth and career advancement?
  • Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities??

What You Will Do

  • Bridge research and production by deploying ML models that are not just powerfulbut reliable, scalable, and maintainable.
  • Collaborate with data scientists to experiment with advanced ML / AI algorithms and frameworks.
  • Design and implement feature pipelines using DBT, Snowflake, and Redshift to power high-quality ML models.
  • Build and optimize production-grade ML pipelines for training, inference, and monitoring using SageMaker, GitLab CI, and Airflow.
  • Monitor and manage model performance, ensuring ML systems remain trustworthy and impactful in production.
  • Contribute to system architecture and design, making key decisions that influence the reliability and scalability of our ML platform.
  • Mentor junior engineers, fostering a culture of innovation, quality, and engineering excellence.
  • Identify and resolve runtime and infrastructure issues, ensuring smooth model deployment and system stability.
  • Ensure models meet requirements for explainability, auditability, and responsible AI in regulated healthcare settings.

    • Why Join Us?

  • Innovation at scale : Build ML systems that directly impact real-world healthcare outcomes.
  • Modern tech stack : Work with cutting-edge tools in cloud-native environments.
  • Collaborative culture : Join a team that values curiosity, continuous learning, and shared success.
  • Career growth : Lead initiatives, mentor peers, and shape the future of ML engineering here.

    • Qualifications

    Licenses and Certifications :

  • AWS certifications (e.g., ML Specialty, Solutions Architect) preferred

    • Education :

  • Bachelor's Degree in Computer Science or a related discipline required
  • Master's Degree in Computer Science or a related discipline preferred

    • Work Experience :

  • 3+ years of experience building and deploying production machine learning systems required
  • Proficient in Python and key ML libraries required
  • Strong experience with containerized ML services (e.g., Kubeflow, SageMaker, MLFlow) and cloud platforms (AWS preferred) required
  • Proficient with MLOps tooling and observability stacks required
  • Skilled in GitOps, SQL, bash scripting, and CI / CD workflows required
  • Effective oral, written and interpersonal communication skills required
  • Experience in healthcare AI and ML system design preferred

    • Pay Range

    USD $122,300.00 - USD $205,000.00 / Yr.

    About Us

    VNS Health is one of the nations largest nonprofit home and community-based health care organizations. Innovating in health care for more than 130 years, our commitment to health and well-being is what drives us we help people live, age and heal where they feel most comfortable, in their own homes, connected to their family and community. On any given day, more than 10,000 VNS Health team members deliver compassionate care, unparalleled expertise and 24 / 7 solutions and resources to the more than 43,000 neighbors who look to us for care. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of the communities and people we serve in New York and beyond.

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