Manager, Machine Learning Engineering

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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

• Independently lead Machine Learning Engineering teams in the development and enhancement of our machine learning infrastructure and solutions that impact millions of employees every day. • Build and evolve AI platforms that scale across products, domains, and teams at Paylocity. • Own and drive end-to-end ML tooling and automation, from infrastructure and data pipelines to model deployment, monitoring, and optimization. • Collaborate with data science and engineering teams to drive adoption of best practices in MLE while contributing to the development of formal training programs and materials for MLE tool adoption. • Influence and collaborate with other teams across Product & Technology (e.g. Data Engineering, Cloud Center of Excellence, Platform teams, Architecture Review Board, etc.) to ensure alignment and integration of ML capabilities. • Influence business strategy by leveraging data and metrics and presenting recommendations and insights to Dir+ leadership. • Mentor, coach, and develop teams, fostering technical excellence, professional growth, and leadership capabilities. • Oversee and manage multiple projects simultaneously, ensuring alignment with company objectives, resource optimization, and timely delivery. • Establish best practices for scalable and reproducible machine learning development, deployment, and governance. • Continuously assess team outcomes, processes, and quality to drive improvements. • Stay at the forefront of AI and ML advancements, ensuring the team continuously evolves by incorporating the latest technologies, methodologies, and best practices.

🎯 Requirements

• Bachelor’s degree in a quantitative field • 5+ years of hands-on AI/ML success at software companies • 2+ years of experience managing and leading data teams, with demonstrated success in coaching, mentoring, and developing talent • Experience in writing production grade machine learning infrastructure and/or models in Python • Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) and infrastructure-as-code tooling • Familiar with cloud-based source code management, continuous integration, continuous delivery, and other software development best practices (GitHub Actions, TeamCity, Octopus, Jenkins, etc.) • Demonstrated ability to lead high-performing teams, inspire others, and drive business results • Skilled at translating business problems into data/ML problems and communicating the results to non-technical audiences • Self-motivated, adaptable, and highly detail oriented • Must have a strong sense of curiosity and a willingness to learn • Exceptional verbal and written communication skills.

🏖️ Benefits

• medical, dental, vision, life, disability • a 401(k) match • perks that support you, your family, and your finances • career development opportunities