Associate Machine Learning Scientist

Role Overview Support the development, testing, and deployment of machine learning models that improve UMG’s forecasting accuracy, automation capabilities, and analytical insight. Work closely with senior scientists to turn data into reliable, well‑documented models and build strong foundations in applied machine learning best practices. Responsibilities Develop, train, and evaluate machine learning models under guidance of senior team members. Contribute to feature engineering, model experimentation, validation, and performance analysis across structured and unstructured data sets. Implement and maintain models in production environments, including monitoring performance and retraining workflows as data evolves. Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for modeling improvement, translating findings into clear technical summaries. Support traditional ML and generative AI projects, gaining hands‑on experience with predictive models, NLP workflows, and automation pipelines. Write clean, well‑documented code and support reproducible experimentation through version control, experiment tracking, and model documentation. Collaborate with data engineers, analysts, and senior scientists to ensure models are grounded in high‑quality data and aligned with business needs. Prepare model outputs and insights for downstream consumption in dashboards, reports, or financial models. Follow established best practices around data hygiene, privacy, and ethical model use, and learn how governance and compliance considerations shape real‑world ML systems. Qualifications BS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. 1–3 years of experience applying machine learning techniques through coursework, research, or professional experience. Proficiency in Python and familiarity with common ML libraries (Scikit‑Learn, PyTorch, or TensorFlow). Foundational understanding of machine learning concepts, including model evaluation, overfitting, and feature engineering. Curiosity, strong analytical instincts, and a desire to learn how ML creates real business value beyond model accuracy. Benefits Comprehensive medical, dental, and vision coverage, including 100% coverage for out‑patient in‑network mental health services. Fertility coverage for eligible medical plan participants. Well‑being reimbursements for fitness classes, spa treatments, meal services, travel, and more (up to $720/year). Student loan repayment assistance and tuition reimbursement. 401(k) with 100% immediate vesting on the first 5% of contributions, plus an additional UMG contribution. Flexible paid time off (PTO) for exempt employees; 3‑week PTO for non‑exempt employees. Two‑week paid winter break and 10 company holidays, including Juneteenth and Well‑being Day. Summer Fridays between Memorial Day and Labor Day. Generous paid parental leave for every type of parent. Universal Music Group is an Equal Opportunity Employer. We are an E‑Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah. #J-18808-Ljbffr 600 UMG Recordings Inc