Machine Learning Engineer

San Francisco, United States

• Collaborate with global teams to deliver high-impact data products for worldwide deployment.
• Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti-fraud systems, credit strategy, and marketing optimization.
• Enhance and maintain scalable machine learning infrastructure to support robust data product performance.
• Mentor engineers and data scientists on best practices in ML engineering, fostering a culture of excellence and knowledge sharing.
• Lead data product development from ideation through to large-scale deployment, ensuring end-to-end execution.

• PhD or Master’s degree in Computer Science, Statistics, Engineering, or a related field.
• 5+ years of experience as a Machine Learning Engineer, Data Scientist, or in a closely related role, with a proven track record of delivering impactful solutions.
• Deep expertise in machine learning algorithms, frameworks, and the full ML lifecycle, including data extraction, feature engineering, model serving, and monitoring for both live and batch processing.
• Strong software design skills with high proficiency in Python and related libraries/frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI).
• Excellent interpersonal skills, with strong written and verbal communication abilities.
• Demonstrated experience with cloud providers (AWS preferred) and associated data services.