Machine learning Engineer

Cloud Analytics Technologies - San Jose, CA

Full-time - Mid Level

San Jose, CA

About the position

The Machine Learning Engineer will be responsible for developing scalable data processing pipelines for analytical and predictive platform services. This role involves collaboration with data scientists and engineers to address technical challenges, providing recommendations to support product development, and working closely with engineers to build, test, deploy, and troubleshoot machine learning software.

Responsibilities

• Develop scalable data processing pipelines for analytical and predictive platform services.
• Collaborate with other data scientists and engineers to find effective solutions to technical challenges.
• Provide recommendations, guidance, and options to support Pearson's GLP product development roadmap.
• Work closely with engineers to build, test, deploy, and troubleshoot machine learning/algorithm-based software.

Requirements

• MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field.
• 5+ years of industry experience in engineering, data science, or related areas.
• Demonstrated mastery in communication of technical ideas to non-technical audiences.
• Ability to translate customer goals into practical engineering solutions.
• Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.
• Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C++.
• Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniques.
• Familiarity with libraries such as Spark ML, Tensorflow, scikit-learn, MLib, DLib, Pandas or others like H2O, Databricks.