Staff Machine Learning Engineer

Pivotal Solutions, Inc.; San Francisco (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Pivotal Solutions, Inc. is seeking a senior ML engineer to design and deploy data products for global markets. You will lead end-to-end ML projects, build scalable pipelines, and collaborate with cross-functional teams to drive business impact.

The role requires advanced degrees and 5+ years delivering ML solutions, with strong Python skills and AWS experience. You will mentor teams and shape best practices in ML engineering.

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.

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.

Skills

Python

ML engineering

Cloud AWS

Feature engineering

Model serving

Pandas/Scikit-Learn

Communication skills

Education

PhD or Master in CS/Statistics/Engineering

Tools

Flask/FastAPI

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.

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.