Machine Learning Engineer IV

Overview Location: Irvine, CA - (Hybrid) 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 www.parkplaceirvine.com Who We Are: 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, Wi-Fi, 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. If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs. The Avionics Way: 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. Responsibilities 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. What you will be doing: Technical Leadership 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. Algorithm Development & Implementation 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. Machine Learning Infrastructure & Engineering 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. Experimentation & Innovation 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. Cross-functional Collaboration Work collaboratively with data scientists, software engineers, product managers, and internal and external stakeholders, effectively communicating technical concepts and insights to drive project alignment and success. Performance Optimization Continuously monitor and optimize the performance of machine learning models, identifying areas for improvement and implementing enhancements to achieve optimal results. Mentorship & Knowledge Sharing Mentor engineers, provide technical guidance, and contribute to the development of a culture of excellence and continuous learning within the team. The salary range of $142,000 – $230,000 annually is just one component of Panasonic’s total package. The final offer amount may vary based on factors including but not limited to individual’s knowledge, skills, experience, and location. Qualifications What we are looking for: Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field. Advanced degree preferred. 8+ years of experience in software engineering, with a focus on data-driven applications, machine learning, or AI, preferably in the aerospace or tech industry. Demonstrated proficiency in programming languages such as Python, Java, or similar, along with expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing technologies. Demonstrated leadership skills with the ability to lead technical initiatives, collaborate effectively across teams, and drive projects to successful completion. Excellent problem-solving abilities, critical thinking, and a passion for innovation and technology. Ability to write technical publications preferred. What we offer: At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program. Paid time off: Exempt Salaried employees receive unlimited PTO. This means that there is no fixed number, range, or limit to the amount of Personal and Vacati