Remote ML Engineering Manager — AI Platform Lead

Praxis, Inc.; United States; Remote; USD 185,000 - 344,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) match

Career development

Job summary

Paylocity is seeking a Manager of Machine Learning Engineering to lead a talented team that builds scalable ML infrastructure and AI platforms used by millions of employees. You will own end-to-end tooling, from data pipelines to deployment, and mentor engineers while advancing ethical AI practices.

The role requires 5+ years in AI/ML, 2+ years in people leadership, and hands-on Python with AWS. This remote position offers strong compensation and bonus potential within the Paylocity ecosystem.

Qualifications

• 5+ years of hands-on AI/ML success at software companies.
• 2+ years leading data teams with coaching and mentoring.
• Experience writing production-grade ML infrastructure/models in Python.
• Hands-on with AWS (Glue, EMR, Lambda) and infra-as-code tooling.
• Knowledge of CI/CD and software development best practices (GitHub Actions, TeamCity, Octopus, Jenkins).
• Strong communication and leadership to drive business results.
• Curiosity and willingness to learn; detail-oriented.

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

Python ML

AWS Cloud

Leadership

CI/CD

Data storytelling

Education

Bachelor’s degree in a quantitative field

Advanced degree preferred

Tools

GitHub Actions

TeamCity

Octopus Deploy

Jenkins

Job description

Paylocity is seeking a Manager of Machine Learning Engineering to lead a talented team that builds scalable ML infrastructure and AI platforms used by millions of employees. You will own end-to-end tooling, from data pipelines to deployment, and mentor engineers while advancing ethical AI practices.

The role requires 5+ years in AI/ML, 2+ years in people leadership, and hands-on Python with AWS. This remote position offers strong compensation and bonus potential within the Paylocity ecosystem.