Machine Learning Engineer - 248846

We are seeking a Senior Machine Learning Engineer to design, develop, and deploy advanced machine learning solutions in production environments. This role focuses on biomedical time-series data and small dataset challenges, requiring strong statistical foundations and hands-on engineering expertise. The ideal candidate combines research-level rigor with production-level discipline to deliver robust, scalable solutions. This will be fully remote for the first 6 months of the contract, and then will require to be onsite in California upon a permanent offer. Key Responsibilities • Lead ETL processes, exploratory data analysis (EDA), and feature engineering initiatives across complex datasets • Design, prototype, and implement machine learning algorithms with a focus on biomedical time-series data and small dataset constraints • Develop practical and reliable solutions for: • Classification • Anomaly detection • Regression • Predictive modeling • Build, test, and maintain production-grade Python code following industry best practices for: • Version control • Automated testing • Documentation • Design, test, and deploy machine learning models into embedded and cloud-based production environments • Collaborate with cross-functional teams (engineering, product, clinical, and research) to translate algorithmic innovations into rigorously validated solutions • Clearly communicate methodologies, experimental results, and technical findings to both technical and non-technical stakeholders Required Qualifications • Senior-level experience designing, testing, and deploying machine learning algorithms in production environments • B.S. or M.S. in Computer Science, Electrical Engineering, or a related technical field • Strong foundation in: • Probability and statistics • Linear algebra • Optimization • Classical machine learning techniques • Modern machine learning approaches • Expert-level proficiency in Python • Experience with CI/CD platforms and development tools such as Git, Jira, and Bitbucket • Demonstrated ability to write clean, maintainable, and well-tested code