Principal Machine Learning Engineer (AI)

TL;DR

Principal Machine Learning Engineer (AI): Responsible for developing infrastructure and tooling to enable data-driven decisions and insights at scale for millions of users with an accent on building and deploying platform-wide recommendations. Focus on building robust machine learning platforms and foundational infrastructure that empower data science and engineering teams to develop, deploy, and scale advanced AI solutions.

Location: Fully remote within the U.S.

Salary: $177,500 - $329,600 /yr

Company

hirify.global is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce.

What you will do

• Design, architect, and build robust machine learning platforms and foundational infrastructure.
• Develop and optimize reusable services, frameworks, and automation pipelines.
• Lead the evaluation, selection, and integration of cutting-edge big data and AI technologies.
• Drive the adoption and implementation of large language models (LLMs) and agentic AI frameworks.
• Partner with Product Managers, Enterprise Architects, and technical leaders.
• Mentor and guide engineering and data science teams in leveraging platform capabilities.

Requirements

• Bachelor’s degree with 12 years of demonstrated machine learning success or similar experience; or, advanced degree (master’s or PhD) in data science, computer science, engineering, statistics, mathematics or other quantitative field, with 5 years of demonstrated data science success or similar experience.
• Experience in writing production grade machine learning models in Python.
• Deep understanding of distributed systems, architecture, and scalability.
• Proven experience successfully executing organization-wide technical initiatives.
• Demonstrated experience with cloud infrastructure (e.g., AWS, Azure, GCP).
• Able to work in a collaborative environment with a desire to share your ideas.

Nice to have

• Professional or academic experience in HR, social science or psychology.
• Significant experience with cloud development and infrastructure-as-code (IAC) tools such as Pulumi, Terraform, AWS CDK.
• Be invested in staying current in data science by applying new technologies and practices.

Culture & Benefits

• Fully remote position with no in-office requirements.
• Medical, dental, vision, life, disability, and a 401(k) match.
• Career development opportunities.
• Employee resource groups (ERGs) to drive innovation.
• Commitment to diversity and inclusion.