Paylocity is growing its Machine Learning Engineering organization. The Machine Learning Engineer will help build and deploy Machine Learning solutions to drive business results and improve products.

Company: Paylocity

Role: Machine Learning Engineer

Location: Fully Remote • Remote, US

Experience:

3+ years of machine learning engineering success or similar experience at software companies
Experience in building production-grade machine learning models and infrastructure in Python
Experience with cloud infrastructure (i.e., AWS, GCP, or Azure)
Demonstrated experience with Infrastructure as Code (IAC) tools (i.e. CDK, Pulumi, etc.)

Key Skills:

Python
big data technologies
AWS
Databricks
Spark
Infrastructure as Code (IAC) tools

Qualification:

Bachelor’s degree in machine learning engineering, data engineering, computer science, engineering, statistics, mathematics, data science, or other quantitative field
Advanced degree (master’s or PhD) preferred

Role Focus:

Collaborate with internal teams to understand requirements and ensure alignment of machine learning engineering solutions
Develop scalable and efficient machine learning solutions for millions of users
Create automated data and modeling pipelines
Lead the optimization of CI/CD workflows
Proactively identify and resolve issues/bugs
Drive the adoption of best practices in machine learning engineering across teams

Additional responsibilities:

Ability to sit for extended periods
Use of computer and phone systems

Nice to have:

Professional or academic experience in HR, social science or psychology
Contributions to open-source software in Python
Enthusiastic about how machine learning and infrastructure can lead to a superior customer experience

Other:

Medical, dental, vision, life, disability, and 401(k) match benefits
Perks that support employees, family, and finances
Career development opportunities
Equal-opportunity employer, committed to diversity and inclusion

Machine Learning Engineer

Skills Required

Description