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Junior Machine Learning Engineer Predictive Analytics
Birth ModelUnited States
Junior Machine Learning Engineer — Predictive AnalyticsRemote / New York / New Jersey Full-Time Machine Learning We're looking for a recent graduate or early-career engineer with a passion for machine
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Junior Machine Learning Engineer Predictive Analytics
- United States
- United States
Über
Remote / New York / New Jersey Full-Time Machine Learning We'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 On Assisting with ML model development and optimization for delivery time prediction Learning to build and manage ML pipelines on AWS SageMaker Processing and feature engineering on healthcare datasets (150K+ patient records) Supporting development of risk scoring models for maternal health indicators Writing tests and documentation for ML systems Collaborating with clinicians to understand clinical workflows and data Learning MLOps best practices including model monitoring and deployment Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field Coursework or project experience in machine learning or data science Proficiency 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 skills Eagerness to learn and grow in a fast-paced startup environment Clear written and verbal communication skills Nice to Have Internship or project experience with ML/data science Exposure to cloud platforms (AWS, GCP, or Azure) Familiarity with deep learning frameworks (PyTorch, TensorFlow) Interest in healthcare or clinical applications Experience with SQL and relational databases Tech Stack Python AWS SageMaker scikit-learn PyTorch pandas numpy PostgreSQL Docker Jupyter S3 How You'll Be Supported Direct mentorship from senior engineers with ML and healthcare experience Structured onboarding and training on our ML infrastructure Regular code reviews with actionable feedback Exposure to real production ML systems and clinical data Clear path for growth and increasing technical ownership $90,000 – $115,000 + equity
Sprachkenntnisse
- English
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