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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer, Sr. - Remote - **Company:** TRENT HOEK OUTDOORS LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Cloud Database, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Python (Programming Language), Machine Learning, Meta-Data Management, Recommender Systems, SQL Databases, Data Streaming, Feature Engineering, Apache Spark, Deep Learning, Information Technology, Data Lineage, Machine Learning Operations, Data Pipelines, Jenkins, Databricks - **Published:** September 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/phpxetpspq ## About the Role * Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field * 5+ years of experience developing machine learning models, large-scale data analysis, or data engineering solutions * 5+ years of experience writing production-level scalable code * Strong Python and SQL programming skills * 3+ years of experience developing algorithms for production systems * Strong understanding of modern machine learning and deep learning methods * Strong understanding of the mathematical foundations of machine learning * Experience building big-data solutions and production pipelines * Experience with Databricks, S3, and Spark * Strong written and verbal communication skills * MS or PhD in a quantitative field preferred * Experience with content recommendation algorithms preferred * Experience with full-stack ML pipelines preferred * Knowledge of metadata management, data lineage, and data governance preferred * Experience with cloud-hosted databases preferred, * Machine learning * Deep learning * Recommendation systems * Personalization algorithms * Predictive modeling * Python * SQL, * Experience with content recommendation algorithms * Experience with full-stack ML pipelines * Knowledge of metadata management, data lineage, and data governance * Experience with cloud-hosted databases ## Description The Machine Learning Engineer will develop and productionize machine learning algorithms that power personalization, recommendations, and engagement across Disney Streaming products such as Disney+ and Hulu. As an individual contributor, you will lead recommendation and personalization research, development, and deployment while collaborating with Engineering, Product, Data, and Editorial teams. You will help identify new personalization opportunities, shape the algorithmic roadmap, and improve data collection, experimentation, and analysis processes., * Develop and productionize machine learning algorithms * Lead recommendation and personalization research * Collaborate with Engineering, Product, Data, and Editorial teams * Identify new personalization opportunities * Shape the algorithmic roadmap * Improve data collection, experimentation, and analysis processes, * Data engineering * Feature engineering * ETL pipelines * Airflow * Jenkins * Batch and streaming data pipelines * Big-data engineering * Databricks * Apache Spark * Amazon S3 * AWS * Model training and deployment * Algorithm testing and maintenance * ML pipeline productionization * Data extraction and mining * Data collection and experimentation * Metadata management * Data lineage * Data governance * Cloud databases * Scalable production systems * Technical research and roadmap development * Cross-functional collaboration * Stakeholder management * Product personalization * Content recommendations ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)