Staff Machine Learning Engineer

San Francisco, CA, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Collaboration
  • Fraud
  • Marketing
  • Optimization
  • Mentorship
  • Knowledge Sharing
  • Product Development
  • Ideation
  • Computer Science
  • Statistics
  • Algorithms
  • Machine Learning (ML)
  • Data Extraction
  • Batch Processing
  • Software Design
  • Python
  • scikit-learn
  • Pandas
  • Flask
  • Communication
  • Cloud Computing
  • Amazon Web Services

Summary

Job Description
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.

Requirements
Qualifications
  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183366
  • Position Id: 2ec227f2efa15127b6ad523d8c67e395
  • Posted 7 hours ago
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