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Pivotal Solutions

Staff Machine Learning Engineer

Reposted 2 Months Ago
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In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Lead development and deployment of scalable ML pipelines and infrastructure for global lending products. Mentor engineers and data scientists, drive end-to-end data product delivery, and optimize systems for fraud detection, credit strategy, and marketing.
The summary above was generated by AI
Responsibilities
  • 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.



RequirementsQualifications
  • 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.



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