Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of hirify.global users with an accent on architecting, developing, and optimizing machine learning solutions. Focus on leveraging cutting-edge big data technologies on AWS, creating automated data and modeling pipelines, and driving the adoption of best practices in machine learning engineering.

Location: Remote (within the U.S.)

Salary: $125,900 - $233,900/year

Company

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

What you will do

• Collaborate with Data Science, Data Engineering, CCOE, DevOps, and Delivery Platforms to align machine learning solutions with overall business objectives.
• Develop scalable and efficient machine learning solutions for millions of users leveraging AWS, Databricks, and Spark.
• Create automated data and modeling pipelines to ensure smooth integration and deployment of machine learning software features.
• Lead the optimization of CI/CD workflows, ensuring scalability and resilience while addressing complex automation challenges.
• Proactively identify and resolve issues/bugs and AppSec vulnerabilities with Application Security and CCOE teams.
• Drive the adoption of best practices in machine learning engineering and contribute to formal training programs.

Requirements

• Bachelor’s degree with 5 years of machine learning engineering experience in software companies, or an advanced degree in a quantitative field.
• Experience in building production-grade machine learning models and infrastructure in Python.
• Strong background in advanced Python and big data technologies (e.g., AWS, GCP, or Azure).
• Demonstrated experience with Infrastructure as Code (e.g., CDK, Pulumi).
• Skilled at translating business problems into machine learning engineering problems and communicating results.
• Strong understanding of data engineering and software engineering fundamentals.

Nice to have

• Professional or academic experience in HR, social science, or psychology.
• Contributions to open-source software in Python.

Culture & Benefits

• Fully remote work environment with a collaborative team.
• Medical, dental, vision, life, and disability benefits.
• 401(k) match.
• Opportunities for career development.
• Commitment to diversity and inclusion through employee resource groups.