Manager, Machine Learning Engineering

412th Test Wing, Edwards Air Force Base

Manager of Machine Learning Engineering developing AI platforms for Paylocity's cloud-based HR solutions. Leading teams and enhancing machine learning infrastructure impacting millions of users.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $173,000 - $321,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning Engineering, with a strong focus on building scalable AI platforms, managing data teams, and driving best practices in ML development and deployment. Proven ability to influence business strategy through data-driven insights and mentor teams to achieve technical excellence.

Highest-signal resume keywords

Machine Learning EngineeringAI Platform DevelopmentPython ProgrammingAWS Cloud InfrastructureTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning InfrastructureData PipelinesModel DeploymentModel MonitoringModel OptimizationProduction Grade ModelsInfrastructure as CodeContinuous IntegrationContinuous DeliveryData/ML Problem Translation

Soft Skills

Communication SkillsCoaching and MentoringAdaptabilityDetail OrientedCuriosity

Tools & Technologies

AWS GlueAWS EMRAWS LambdaGitHub ActionsTeamCityOctopusJenkins

Industry Keywords

Machine LearningArtificial IntelligenceData EngineeringSoftware Development Best PracticesQuantitative Field

Tech Stack

Tools & technologies

AWSCloudJenkinsPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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