Senior Machine Learning Engineer

🕒 4 days ago

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Paylocity

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $10M Venture Round - Paylocity on 2008-05

HR Tech • SaaS • B2B

Paylocity is a provider of cloud-based payroll and human capital management software for businesses of all sizes. Its platform includes payroll, HR, time & labor, benefits administration, talent management (recruiting, onboarding, performance, learning), employee experience tools and AI-driven features, and it serves small businesses through enterprises as well as partners such as accountants, brokers, and tech partners.

📋 Description

• Collaborate with Data Science, Data Engineering, Cloud Center of Excellence, DevOps, and Delivery Platforms teams • Develop scalable machine learning solutions using AWS, Databricks, and Spark • Create automated data and modeling pipelines • Integrate and deploy machine learning software features • Lead optimization of scalable and resilient CI/CD workflows • Identify and resolve issues and bugs, including AppSec vulnerabilities • Drive adoption of machine learning engineering best practices • Contribute to formal training programs and materials for MLE tool adoption • Participate in cross-functional meetings and discussions to align requirements and drive project success • Architect, develop, and optimize machine learning solutions and infrastructure for Paylocity’s HR and payroll platform

🎯 Requirements

• Bachelor’s degree with 5 years of machine learning engineering experience at software companies, or an advanced degree in a quantitative field with no additional experience required • Production-grade machine learning models and infrastructure experience in Python • Strong background in advanced Python and big data technologies • Experience with AWS, GCP, or Azure cloud infrastructure • Experience with Infrastructure as Code tools such as CDK or Pulumi • Ability to use machine learning engineering to drive business results • Ability to translate business problems into machine learning engineering problems and communicate results to non-technical audiences • Ability to work collaboratively and independently • Strong understanding of data engineering and software engineering fundamentals • Self-motivated, adaptable, and highly detail oriented • Ability to sit for extended periods, typically 7–8 hours per day • Ability to operate computers and phone systems and use multiple software programs simultaneously

🏖️ Benefits

• Medical, dental, vision, life, and disability insurance • 401(k) match • Perks supporting employees, their families, and finances • Career development opportunities • Annual restricted stock unit grant based on individual performance • Fully remote work arrangement