Principal Engineer, Machine Learning Ops

HARMAN International; Austin (TX); Remote; USD 120,000 - 180,000; Full time

Job summary

Join a dynamic team as a Principal MLOps Engineer and play a pivotal role in creating an innovative music discovery platform. You will design and implement robust infrastructure and deployment systems that support machine learning models and data pipelines. This role offers the opportunity to work autonomously in a fast-paced environment, making impactful decisions that shape the future of music consumption. If you are passionate about technology and music, this is your chance to contribute to a transformative project that delivers a first-class user experience.

Qualifications

• 10+ years of experience in MLOps and DevOps.
• Strong understanding of modern MLOps tools and practices.
• Experience with data pipelines and infrastructure as code.

Responsibilities

• Develop scalable MLOps infrastructure for product launch.
• Collaborate with app developers to ensure project success.
• Make critical early-stage development decisions.

Skills

MLOps

DevOps

Python

Bash

GCP

AWS

Azure

Docker

Kubernetes

Terraform

Education

Bachelor's degree in computer science or a related field

Tools

Docker

Kubernetes

Terraform

GCP

AWS

Azure

Job description

Principal Engineer, Machine Learning Ops

Join to apply for the Principal Engineer, Machine Learning Ops role at HARMAN International.

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.

What You Need To Be Successful

• 10+ years of experience across MLOps and DevOps.
• Strong understanding of modern MLOps and DevOps tools and best practices, including model training and deployment, experiment management, scalable data pipelines, and real-time / eventually consistent systems.
• Proficiency in Python and bash.
• Extensive hands-on experience with GCP, AWS, or Azure.
• Expertise with Docker, Kubernetes, Terraform, and Serverless architectures.
• Proven experience with data pipelines, infrastructure as code (IaC), monitoring, logging, and alerting systems.
• Strong knowledge of system components such as databases, caches, event streaming, queues, data warehouses, and ML-specific data infrastructure.
• Skilled in automating infrastructure, deployments, model training pipelines, and system management using industry-standard tools.
• Familiarity with setting up robust development environments for ML engineers, managing model experimentation workflows, building and operating data pipelines, and automating end-to-end ML lifecycle management.

Bonus Points if You Have

• Bachelor's degree in computer science or a related field.
• A passion for music and interest in products that bring joy to music lovers worldwide.
• Experience working with machine learning workloads in production.
• Experience with social products or recommendation systems.

What Makes You Eligible

• This position is 100% remote.
• You must be available for meetings and team interactions during typical US business hours.
• Willingness to travel up to 5%, domestically and internationally.
• Successful completion of a background check and drug screening.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industry: Computers and Electronics Manufacturing