Technology

Staff Machine Learning Engineer

Pivotal SolutionsSan Francisco, CA🇺🇸United StatesPosted 19 Aug 2026

Why This Role Stands Out

This hybrid Staff Machine Learning Engineer role offers significant opportunities to lead impactful data product development and mentor a talented team, leveraging your deep ML expertise to optimize global lending products. You'll thrive here if you have a strong background in the full ML lifecycle, software design, and cloud technologies, and are eager to contribute to a collaborative environment. Apply now to join Pivotal Solutions and drive innovation in machine learning!

Quick Overview

Work Type

Hybrid

Level

Mid Senior

Job Description

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.

Skills

FastAPI

Flask

AWS

Machine Learning

Scikit-learn

Pandas

Python

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