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Principal Engineer, Machine Learning
2 months ago
About Roon At Roon, we are at the forefront of revolutionizing the way people experience music. Since our inception, we have dedicated ourselves to developing software that transforms music streaming into an immersive journey, tailored specifically to the listener's preferences and unique tastes. Under the umbrella of Harman International, Roon Labs continues to operate with the spirit of a nimble startup, backed by the resources and reach of a global powerhouse. Our team comprises passionate individuals who believe in the power of music to connect and inspire. We are developers, designers, engineers, and audiophiles united by a common goal—to make listening to music more engaging, personal, and connected. About The Role As a Principal Machine Learning Engineer you will help build the recommendation systems for a revolutionary new music discovery platform. This role offers a unique chance to be part of the founding team, guided by experienced leaders with a proven track record in launching and scaling products. You'll be instrumental in making crucial decisions that will shape the direction and success of our platform. Our product aims to deliver a modern, challenging, and ambitious user experience by seamlessly integrating content delivery, audio playback, machine learning, and recommendation systems. Be a part of transforming music consumption with us. What You Will Do Build state-of-the-art recommendation systems from the ground up, all the way through to production. Serve as a technical authority on machine learning and recommendation systems. Collaborate closely with app developers and engineers, and product management to ensure project success. Make critical early-stage decisions in the development process that will set the stage for long-term success. Operate in a fast-paced, startup-like environment to launch a new business within Harman. Work with a high degree of autonomy and ownership. Actively engage with business and product stakeholders in an iterative, dynamic environment. What You Need Experience: 10+ years in machine learning engineering. Technical Skills: Proven experience building production-grade ML systems using Python. Recommendation Systems: Strong experience in building, measuring, and operating recommendation systems. Generative AI: Familiarity with Generative AI technologies. Cloud Platforms: Familiarity with GCP, AWS, and Azure. Deployment Technologies: Familiarity with Docker, Kubernetes, and Serverless architectures. Backend Architecture: Familiarity with components such as databases, caches, event streaming, queues, and data warehouses. System Operations: Experience in building and operating machine learning systems in both development and production environments. What Is Nice To Have Bachelor's degree in computer science or another related field. A passion for music and interest in working on products that bring joy to music lovers worldwide. Experience deploying machine learning workloads to production. Experience with music information retrieval systems. Experience with content-based recommendation systems. Experience working with social networking products or datasets. What Makes You Eligible Position is 100% Remote. You must be available for meetings and team interaction during typical continental US business hours. Be willing to travel up to 5%, domestically and internationally. Successfully complete a background investigation and drug screen as a condition of employment. What We Offer Competitive wellness benefits and 401K Retirement Savings plan. An inclusive and diverse work environment that fosters and encourages career development opportunities. Flexible work schedule with a culture encouraging work-life integration and collaboration in a global environment. Professional development opportunities through HARMAN University’s business and leadership academies and extensive course catalog. Tuition Reimbursement. Access to employee discounts on world-class HARMAN products (JBL, Harman/Kardon, etc.). “Be Brilliant” employee recognition and rewards program. #J-18808-Ljbffr
