Machine Learning Engineer II

Panasonic • Irvine, CA

13h • Hybrid

About The Position

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, 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 at www.panasonic.aero
And for a full listing of open job opportunities go to www.panasonic.aero/join-us/
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.

Requirements

• Bachelor’s degree in computer science, Data Science, Software Engineering, or a related field.
• 2+ years of experience in software engineering, with a focus on data-driven applications, machine learning, or AI, preferably in the aerospace or tech industry
• 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.
• Ability to collaborate effectively across teams and drive projects to successful completion.
• Proficient problem-solving abilities, critical thinking, and a passion for innovation and technology.

Nice To Haves

• Advanced degree preferred.

Responsibilities

• Design, Develop and deploy machine learning models independently to optimize user experiences and enhance IFEC functionalities.
• Develop machine learning frameworks, tools, and technologies using distributed computing, deep learning, or natural language processing.
• Optimize models for performance, scalability, and interpretability.
• Develop advanced feature engineering techniques.
• Build robust data pipelines for efficient model training and inference.
• Deploy machine learning models into production environments.
• Integrate models with existing systems and applications.
• Monitor model performance and address issues as they arise.
• Maintain and update models to ensure continued relevance and accuracy.
• Work collaboratively with data scientists, software engineers, and product managers to effectively communicating technical concepts and insights to drive project alignment and success.
• Document methodologies, findings, and outcomes of experiment.

Benefits

• flexible paid time off
• 14 vacation days per year
• 7 sick days
• 3 personal days
• 11 company paid holidays per year
• offices closed between Christmas and New Year
• additional compensation for hours worked on holidays
• Medical insurance offerings from Aetna and Kaiser (CA &HI)
• Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family
• Dental PPO and DMO options
• Vision insurance through EyeMed or VSP
• 401K with 50% match on up to 8% contribution, full vested from day 1.
• Washington’s Family and Medical Leave program
• Washington’s Paid Sick Leave program
• Wellness Program
• Counseling services
• FSA & HSA
• Life Insurance for employee, spouse and child
• AD&D Insurance
• Long-term and Short-term disability
• Critical Illness Insurance
• Accident Insurance
• Legal Assistance
• Pet Insurance
• Identity Theft Protection
• Dependent Care FLSA
• Education Assistance
• Commuter Program
• Employee Purchase Program
• Service Award Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level