Staff Machine Learning Engineer

Pivotal Solutions; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Pivotal Solutions in San Francisco, CA invites a senior ML Engineer/Data Scientist to build and deploy data products for global markets. You will collaborate with cross-functional teams to design scalable ML solutions, and lead end-to-end development from ideation to production.

You will develop ML pipelines, optimize anti-fraud, credit, and marketing workflows, and mentor engineers in ML engineering best practices while improving monitoring and scalability in cloud environments.

Qualifications

• PhD or Master’s degree in CS, statistics, or related field.
• 5+ years of experience in ML engineering or data science with proven impact.
• Deep ML lifecycle expertise: data extraction, feature engineering, model serving, monitoring.
• Strong Python and libraries proficiency (Scikit-Learn, Pandas, Flask, FastAPI).

Responsibilities

• Collaborate with global teams to deliver data products for worldwide deployment.
• Develop and maintain ML pipelines and scalable infrastructure.
• Mentor engineers and data scientists on ML engineering best practices.

Skills

Python

ML pipelines

Data modeling

Cloud AWS

Stakeholder mentoring

Education

Master's or PhD in CS/Statistics

Tools

Scikit-Learn

Pandas

Flask/FastAPI

Job description

San Francisco, United States

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.