Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and deploying machine learning solutions and infrastructure to enable data-driven decisions and insights at scale for millions of users with an accent on developing automated data and modeling pipelines. Focus on architecting scalable and efficient ML models, optimizing CI/CD workflows, and baking AI ethics into processes.

Location: Fully remote within the U.S.

Salary: $125,900–$233,900/yr

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, DevOps, and Delivery Platforms to align ML solutions with business objectives.
• Develop scalable and efficient machine learning solutions using AWS, Databricks, and Spark.
• Create automated data and modeling pipelines for smooth integration and deployment of ML software features.
• Lead the optimization of CI/CD workflows, ensuring scalability and resilience.
• Identify and resolve issues/bugs, ensuring AppSec vulnerabilities are corrected with Application Security and CCOE teams.
• Drive adoption of ML engineering best practices and contribute to training programs.

Requirements

• Bachelor’s degree with 5+ years of machine learning engineering experience in software companies; or, advanced degree (master’s or PhD) in a quantitative field with no additional experience required.
• Experience building production-grade machine learning models and infrastructure in Python.
• Strong background in advanced Python and big data technologies.
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• Demonstrated experience with Infrastructure as Code (IAC) tools (CDK, Pulumi).
• 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 and collaborative work environment.
• Invested in staying current with machine learning engineering tools and practices.
• Medical, dental, vision, life, disability, and 401(k) match.
• Perks supporting family and finances.
• Opportunities for career development.