TL;DR

Senior Machine Learning Engineer (AI Engineering): Develop and deploy scalable machine learning models and infrastructure for a cloud-based HR and payroll platform with an accent on big data technologies, automation, and AI ethics. Focus on building production-grade ML solutions, optimizing CI/CD workflows, and collaborating cross-functionally to enhance product features and infrastructure.

Location: Fully remote within the United States

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

Company

%hirify_global% is a leading cloud-based HR and payroll software provider focused on delivering modern workforce solutions and fostering a strong workplace culture.

What you will do

Develop scalable machine learning infrastructure and tooling for millions of users using AWS, Databricks, and Spark.
Collaborate with Data Science, Data Engineering, DevOps, and other teams to align ML solutions with business goals.
Create automated data and modeling pipelines and optimize CI/CD workflows for ML deployment.
Identify and resolve issues including application security vulnerabilities in partnership with security teams.
Drive adoption of ML engineering best practices and contribute to training programs.
Participate actively in cross-functional meetings to ensure project alignment and success.

Requirements

Must be based in the United States or able to work remotely within the US.
Bachelor's degree with 5+ years of experience in machine learning engineering or related fields; advanced degrees preferred.
Strong expertise in Python, big data technologies, and cloud infrastructure (AWS, GCP, or Azure).
Experience with Infrastructure as Code tools (e.g., CDK, Pulumi) and production-grade ML model development.
Ability to translate business problems into ML engineering solutions and communicate effectively with non-technical stakeholders.
Self-motivated, detail-oriented, and able to work independently and collaboratively.

Nice to have

Experience or academic background in HR, social science, or psychology.
Contributions to open-source Python software.
Passion for applying ML and infrastructure to improve customer experience.
Commitment to staying current with new ML technologies and practices.

Culture & Benefits

Comprehensive medical, dental, vision, life, and disability insurance.
401(k) match and financial wellness support.
Career development opportunities and learning resources.
Inclusive and diverse workplace culture with employee resource groups.
Fully remote work environment with collaborative team culture.