Manager, Machine Learning Engineering

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412th Test Wing, Edwards Air Force Base

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1933

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

412th Test Wing, Edwards Air Force Base is a key component of the U. S. Air Force dedicated to aerospace testing and evaluation. The Wing oversees various programs aimed at enhancing mission capabilities and safety within the military aviation sector. It plays a crucial role in supporting Edwards Airmen and fostering innovation through initiatives like the Spark Tank Competition, emphasizing education and community engagement in STEM fields.

📋 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