Manager, Machine Learning Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead teams in Machine Learning Engineering to develop and enhance machine learning infrastructure and solutions that impact millions of employees.

• Construct and advance AI platforms that are scalable across various products, domains, and teams.

• Take ownership of comprehensive ML tooling and automation, encompassing infrastructure, data pipelines, model deployment, monitoring, and optimization.

• Work collaboratively with data science and engineering teams to promote the adoption of MLE best practices.

• Contribute to the development of formal training programs and materials aimed at MLE tool adoption.

• Partner with Product & Technology teams, including Data Engineering, Cloud Center of Excellence, Platform teams, and the Architecture Review Board.

• Influence business strategy by utilizing data and metrics, presenting recommendations and insights to senior leadership.

• Mentor, coach, and foster development within teams.

• Manage multiple projects, ensuring they align with company objectives, optimize resources, and are delivered on time.

• Establish best practices for scalable and reproducible machine learning development, deployment, and governance.

• Evaluate team outcomes, processes, and quality to drive enhancements.

• Keep the team updated on the latest AI and ML technologies, methodologies, and best practices.

⛳️ Requirements

• Bachelor’s degree in a quantitative field is required.

• A minimum of 5 years of hands-on AI/ML experience in software companies.

• At least 2 years of experience in managing and leading data teams.

• Proven success in coaching, mentoring, and developing talent.

• Experience in writing production-grade machine learning infrastructure and/or models using Python.

• Practical experience with AWS cloud infrastructure, including Glue, EMR, and Lambda.

• Familiarity with infrastructure-as-code tools.

• Knowledge of cloud-based source code management, continuous integration, continuous delivery, and software development best practices.

• Experience with GitHub Actions, TeamCity, Octopus, Jenkins, or similar tools.

• Capability to lead high-performing teams and drive business results.

• Skill in translating business challenges into data/ML problems.

• Proficiency in communicating results to non-technical audiences.

• Self-motivated, adaptable, and detail-oriented.

• Strong curiosity and a desire to learn.

• Excellent verbal and written communication skills.

• An advanced degree in machine learning engineering, computer science, engineering, data science, statistics, mathematics, or another quantitative field is preferred.

• Professional or academic experience in HR, social science, or psychology is preferred.

• Ability to sit for extended periods, typically 7–8 hours per day.

• Ability to operate computers and phone systems, type, and use multiple software programs simultaneously.

• Must be available five days a week during designated work hours.

• Must work from home or a designated location within the U.S.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• 401(k) match.

• Employee perks that support individuals, their families, and financial wellness.

• Opportunities for career development.

• Eligibility for an annual bonus.

• Restricted stock unit grants based on individual performance.

• Comprehensive range of benefits.