"The center of the aerospace testing universe"
Manager, Machine Learning Engineering
Location
United States
Posted
8 hours ago
Salary
$173K - $321.2K / year
Seniority
Senior
Job Description
Manager, Machine Learning Engineering
412th Test Wing, Edwards Air Force Base
• 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.
Job 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
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