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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Machine Learning Scientist - **Company:** Universal Music Group. - **Location:** Santa Monica, CA, United States - **Experience:** Starter - **Salary:** $90,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Business Systems, Python (Programming Language), Machine Learning, Tensorflow, Feature Engineering, Pytorch, Delivery Pipeline, Model Validation, Generative AI, Semi-structured Data, Scikit Learn, Information Technology, Machine Learning Operations, Software Version Control - **Published:** June 6, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27741475/Associate-Machine-Learning-Scientist-California-Santa-Monica-1018 ## About the Role * 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., The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply. ## Description To support the development, testing, and deployment of machine learning models that improve UMG's forecasting accuracy, automation capabilities, and analytical insight. You will work closely with senior scientists to turn data into reliable, well-documented models while building strong foundations in applied machine learning best practices. How you'll CREATE: Model Development & Analysis: * Develop, train, and evaluate machine learning models under the guidance of senior team members. You will contribute to feature engineering, model experimentation, validation, and performance analysis across structured and unstructured data sets. * Assist in implementing and maintaining models in production environments, including monitoring performance and retraining workflows as data evolves. * Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for odelling improvement, translating findings into clear technical summaries. Applied Learning & Tooling: * Contribute to traditional ML and Generative AI projects, gaining hands-on experience with predictive models, NLP workflows, and automation pipelines. * You will learn when different odelling approaches are appropriate and how they fit into broader business systems. * Write clean, well-documented code and support reproducible experimentation through version control, experiment tracking, and model documentation. Collaboration & Governance: * Work closely with data engineers, analysts, and senior scientists to ensure models are grounded in high-quality data and aligned with business needs. * Support the preparation of 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. You will learn how governance and compliance considerations shape real-world ML systems. ## Related Videos - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Intelligent Automation using Machine Learning](https://www.wearedevelopers.com/videos/157-intelligent-automation-using-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)