Manager, Machine Learning Engineering

🕒 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

• Lead Machine Learning Engineering teams developing and enhancing machine learning infrastructure and solutions impacting millions of employees • Build and evolve AI platforms that scale across products, domains, and teams • Own end-to-end ML tooling and automation, including infrastructure, data pipelines, model deployment, monitoring, and optimization • Collaborate with data science and engineering teams to drive adoption of MLE best practices • Contribute to formal training programs and materials for MLE tool adoption • Collaborate with Product & Technology teams, including Data Engineering, Cloud Center of Excellence, Platform teams, and Architecture Review Board • Influence business strategy by leveraging data and metrics and presenting recommendations and insights to senior leadership • Mentor, coach, and develop teams • Manage multiple projects, ensuring alignment with company objectives, resource optimization, and timely delivery • Establish best practices for scalable and reproducible machine learning development, deployment, and governance • Assess team outcomes, processes, and quality to drive improvements • Keep the team current with the latest AI and ML technologies, methodologies, and best practices

🎯 Requirements

• Bachelor’s degree in a quantitative field required • 5+ years of hands-on AI/ML success at software companies • 2+ years of experience managing and leading data teams • Demonstrated success coaching, mentoring, and developing talent • Experience writing production-grade machine learning infrastructure and/or models in Python • Hands-on experience with AWS cloud infrastructure, including Glue, EMR, and Lambda • Experience with infrastructure-as-code tooling • Familiarity with cloud-based source code management, continuous integration, continuous delivery, and software development best practices • Familiarity with GitHub Actions, TeamCity, Octopus, Jenkins, or similar tools • Ability to lead high-performing teams and drive business results • Ability to translate business problems into data/ML problems • Ability to communicate results to non-technical audiences • Self-motivated, adaptable, and highly detail oriented • Strong curiosity and willingness to learn • Exceptional verbal and written communication skills • Advanced degree in machine learning engineering, computer science, engineering, data science, statistics, mathematics, or another quantitative field preferred • Professional or academic experience in HR, social science, or psychology preferred • Ability to sit for extended periods, typically 7–8 hours per day • Ability to operate computers and phone systems, type, and use multiple software programs simultaneously • Must be available five days per week during designated work hours • Must work from home or a location of record within the U.S.

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) match • Perks that support employees, their families, and finances • Career development • Annual bonus eligibility • Restricted stock unit grant based on individual performance • Full range of benefits