Principal Engineer, Machine Learning Ops

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.

About the Role

Join our team as a Principal MLOps Engineer and help build the infrastructure and deployment systems for a revolutionary new music discovery platform. You'll play a critical role in designing and implementing scalable, reliable, and efficient systems that support our platform's machine learning models and data pipelines. This includes setting up robust development environments for ML engineers, managing model training and experimentation workflows, building and operating data pipelines, and automating deployment of our recommendation systems. Our product is modern, challenging, and ambitious, delivering a first-class, highly engaging user experience that integrates content delivery, audio playback, machine learning, and recommendation systems. Join us in transforming the world of music consumption.

What You Will Do

• Operate in a fast-paced, startup-like environment to launch a new business within Harman.
• Work with a high degree of autonomy and ownership.
• Make critical early-stage development decisions to ensure long-term success.
• Serve as a strong technical voice on backend engineering, ML Engineering, DevOps, and MLOps considerations.
• Actively engage with product stakeholders in an iterative, dynamic environment.
• Develop a scalable, maintainable, and operable MLOps infrastructure to support both product launch and future growth.
• Collaborate closely with app developers and engineers to ensure project success.

Salary Ranges:

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.