Machine Learning Engineer

Pave • San Francisco, CA

118d

About The Position

As part of the data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we're bringing modern machine learning, data science, and software tooling to an industry that is built on data, but doesn't have the tools it needs to fully leverage it.

Requirements

• 5+ years of experience building and deploying ML models in production environments
• Strong foundation in machine learning, statistics, and deep learning fundamentals
• Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)
• Experience with large-scale data processing and ML model optimization
• Experience with MLOps practices and tools (model versioning, monitoring, and deployment)
• Strong software engineering practices and experience with production systems
• Expert-level SQL skills with experience writing complex queries and optimizing query performance
• Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100

Responsibilities

• Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole
• Collaborate with product and engineering teams to identify additional opportunities to leverage ML-driven solutions
• Help evolve the technical direction of ML initiatives across the company
• Drive millions of dollars of revenue growth

What This Job Offers

• Career Level: Senior
• Industry: Publishing Industries
• Number of Employees: 101-250 employees