Machine Learning Engineer IV

Overview

Our new global headquarters is conveniently located in Irvine, CA near John Wayne Airport in the Park Place development. For our onsite and hybrid employees you will be able to enjoy amenities such as access to many restaurants and shops, running trails, a fitness deck, outdoor seating, dry cleaning, car wash, free garage parking, car charging stations, shuttle service for train commuters, outdoor games like bocce, horseshoes, gaming tables, pickle ball, and basketball.

For more information on Park Place visit

Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity!

How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay! With our company’s history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive!

We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.

If you want to learn more about us visit us asonic.aero

And for a full listing of open job opportunities go to (Use the "Apply for this Job" box below)./

The Avionics Way captures the essence of what makes our employees special, and by extension, our organization. It’s comprised of 5 core identifiers - Pioneers, Problem Solvers, Accountable, Collaborative, and Customer Focused - that together form a robust, working framework for our continued success. Beyond a philosophy, the Avionics Way is our guide to daily practices. It provides a clear, actionable model to help employees, at all levels, realize their ambitions through outsized contributions to their teams and the company.

This model clearly defines expectations for performance at all levels of the organization, as well as establishes specific actions and modes of working that reinforce our philosophy on the path to achieving our goals.

Leads machine learning projects, providing technical guidance and mentorship to junior and mid-level engineers. Design, develop, and implement data-driven solutions, leveraging machine learning techniques to enhance our In-Flight Entertainment & Connectivity (IFEC) systems. Collaborate with cross-functional teams to drive innovation and elevate the passenger experience through advanced technological solutions.

• Lead the design and implementation of complex, robust, scalable, and high-performance data-driven systems, integrating machine learning algorithms to improve content delivery, personalization, and connectivity services.

• Develop and deploy machine learning models, predictive analytics, and data-driven strategies to optimize user experiences and enhance IFEC functionalities.
• Develop machine learning frameworks, tools, and technologies. They often have expertise in specialized areas such as distributed computing, deep learning, or natural language processing. They may also have contributed to open-source projects or developed custom tools and libraries.

• Plays a key role in architectural decisions related to machine learning infrastructure and deployment pipelines.
• Represent the team in discussions with stakeholders, articulating technical concepts and recommending strategical technical direction.
• Designs scalable and efficient machine learning pipelines, leveraging cloud-based platforms and distributed computing frameworks.

• Explore emerging trends and technologies in machine learning, conduct research, and propose innovative approaches to improve our IFEC offerings. Publish technical papers and submit patents.

• Work collaboratively with data scientists, software engineers, product managers, and internal and external stakeholders, effectively communicating technical…