Junior Machine Learning Engineer Predictive Analytics

Junior Machine Learning Engineer — Predictive Analytics Remote / New York / New Jersey Full-Time Machine LearningWe're looking for a recent graduate or early-career engineer with a passion for machine learning to join our team. You'll work alongside experienced engineers and clinicians to improve our prediction analytics platform — including delivery time predictions, risk scoring models, and staffing optimization algorithms. This is a hands-on role with significant mentorship and training opportunities as you grow your ML engineering skills in a real-world healthcare environment.What You'll Work OnAssisting with ML model development and optimization for delivery time predictionLearning to build and manage ML pipelines on AWS SageMakerProcessing and feature engineering on healthcare datasets (150K+ patient records)Supporting development of risk scoring models for maternal health indicatorsWriting tests and documentation for ML systemsCollaborating with clinicians to understand clinical workflows and dataLearning MLOps best practices including model monitoring and deploymentRequirementsBachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fieldCoursework or project experience in machine learning or data scienceProficiency in Python and familiarity with ML libraries (scikit-learn, pandas, numpy)Understanding of fundamental ML concepts (supervised learning, model evaluation, feature engineering)Strong analytical and problem-solving skillsEagerness to learn and grow in a fast-paced startup environmentClear written and verbal communication skillsNice to HaveInternship or project experience with ML/data scienceExposure to cloud platforms (AWS, GCP, or Azure)Familiarity with deep learning frameworks (PyTorch, TensorFlow)Interest in healthcare or clinical applicationsExperience with SQL and relational databasesTech StackPython AWS SageMaker scikit-learn PyTorch pandas numpy PostgreSQL Docker Jupyter S3How You'll Be SupportedDirect mentorship from senior engineers with ML and healthcare experienceStructured onboarding and training on our ML infrastructureRegular code reviews with actionable feedbackExposure to real production ML systems and clinical dataClear path for growth and increasing technical ownership$90,000 – $115,000 + equity