Senior Machine Learning Engineer

What you'll do

• Design, build, test, and deploy scalable, reusable, and maintainable machine learning models.
• Develop production-grade ML solutions to enhance product features and customer experience.
• Manage and optimize machine learning models across large-scale datasets.
• Improve and evolve the company's cloud-based machine learning platform.
• Solve practical business problems by implementing recommendation systems and computer vision technologies.
• Process both streaming and batch data at scale to support production environments.
• Optimize ML model performance using cloud tools like Databricks, Amazon Personalize, or SageMaker.

What we're looking for

• Bachelor's degree from an accredited, not-for-profit, in-person college or university.
• 5+ years of professional experience as a Machine Learning Engineer, Data Scientist, or related role.
• 3+ years of programming experience with Python.
• Experience with recommendation systems and (preferably) computer vision.
• Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and PyTorch or TensorFlow.
• Experience with ML cloud tools such as Databricks, Amazon Personalize, or SageMaker (preferred).
• Experience with SQL-based relational databases or document-based databases (preferred).
• Experience solving streaming and batch data processing problems at scale (preferred).