Note: The job is a remote job and is open to candidates in USA. Paylocity is hiring a Manager, Machine Learning Engineering to shape AI/ML initiatives and deliver scalable machine learning infrastructure and solutions. The role leads teams and projects, drives business outcomes, and develops team members through coaching and mentorship.
Responsibilities
- 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
Skills
- This role requires strong technical expertise as well as strong people and project management experience
- Bachelor's degree in a quantitative field is required
- 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
- Advanced degree (Master's or PhD) preferred in machine learning engineering, computer science, engineering, data science, statistics, mathematics, or another quantitative field
- Professional or academic experience in HR, social science or psychology
- Be invested in staying current in AI/ML by applying new technologies and practices
Benefits
- Medical, dental, vision, life, and disability coverage
- A 401(k) match
- Career development
- Fully remote work from home or a location of record within the U.S., with no in-office requirements; the work arrangement is subject to change based on business needs and individual performance and may include adjustments to on-site requirements
- Eligible for an annual bonus based on individual performance
- Eligible for a restricted stock unit grant based on individual performance
Company Overview
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