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.

• Build and advance AI platforms that scale across various products, domains, and teams.

• Own and manage end-to-end ML tooling and automation, which includes infrastructure, data pipelines, model deployment, monitoring, and optimization.

• Collaborate with data science and engineering teams to promote MLE best practices.

• Contribute to the development of formal training programs and materials for the adoption of MLE tools.

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

• Influence business strategy through data and metrics, presenting recommendations and insights to leadership at the Director level and above.

• Mentor, coach, and develop teams, promoting technical excellence, professional growth, and leadership capabilities.

• Oversee multiple projects, ensuring alignment with company objectives, optimizing resources, and ensuring timely delivery.

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

• Evaluate team outcomes, processes, and quality to drive continuous improvement.

• Keep the team informed about advancements in AI/ML technologies, methodologies, and best practices.

⛳️ Requirements

• A Bachelor's degree in a quantitative field is essential.

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

• At least 2 years of experience 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.

• Hands-on experience with AWS cloud infrastructure, including Glue, EMR, and Lambda.

• Familiarity with infrastructure-as-code tooling.

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

• Familiarity with tools such as GitHub Actions, TeamCity, Octopus, Jenkins, or similar.

• Ability to lead high-performing teams, inspire others, and drive business outcomes.

• Capability to translate business problems into data/ML challenges and effectively communicate results to non-technical audiences.

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

• Strong curiosity and eagerness to learn.

• Exceptional verbal and written communication abilities.

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

• Ability to sit for prolonged periods, typically 7–8 hours a day.

• Proficient in operating computers and phone systems, typing, and using multiple software programs simultaneously.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• 401(k) match.

• Perks that support employees, families, and finances.

• Opportunities for career development.

• Annual bonus.

• Restricted stock unit grants based on individual performance.

• Fully remote work options from home or location of record within the U.S.

• No in-office requirements.