Machine Learning Engineer IV

Panasonic•Irvine, CA

10d

About The Position

Panasonic Avionics Corporation is hiring a Machine Learning Engineer IV to lead machine learning projects and provide technical guidance and mentorship to junior and mid-level engineers. The role designs, develops, and implements data-driven solutions that enhance the company’s In-Flight Entertainment & Connectivity (IFEC) systems and passenger experience. The engineer leads the design of scalable, robust, high-performance systems and machine learning infrastructure, develops and deploys models and predictive analytics, and helps shape architecture and deployment pipelines. The position also explores emerging technologies, collaborates with cross-functional teams and stakeholders, optimizes model performance, and contributes to technical publications, patents, and team learning. The position is based in the context of Panasonic Avionics’ global headquarters in Irvine, California; the posting describes amenities available to onsite and hybrid employees but does not specify this role’s workplace type. The stated annual salary range is $142,000–$230,000. Benefits include paid time off and holidays, health and insurance coverage, a 401(k) match, and other wellness, education, commuter, and employee programs.

Requirements

Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field.
At least 8 years of software engineering experience focused on data-driven applications, machine learning, or AI.
Proficiency in Python, Java, or similar programming languages.
Expertise in machine learning frameworks such as TensorFlow or PyTorch and data processing technologies.
Leadership skills, including the ability to lead technical initiatives, collaborate across teams, and drive projects to completion.
Strong problem-solving and critical-thinking abilities and an interest in innovation and technology.

Nice To Haves

Advanced degree.
Experience in the aerospace or technology industry.
Ability to write technical publications.
Experience or expertise in distributed computing, deep learning, or natural language processing; contributions to open-source projects or development of custom tools and libraries.

Responsibilities

Lead machine learning projects and provide technical guidance and mentorship to junior and mid-level engineers.
Design and implement complex, robust, scalable, high-performance data-driven systems that integrate machine learning 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 IFEC functionality.
Develop machine learning frameworks, tools, and technologies, potentially in areas such as distributed computing, deep learning, or natural language processing.
Contribute to architectural decisions concerning machine learning infrastructure and deployment pipelines.
Represent the team in stakeholder discussions, explain technical concepts, and recommend technical direction.
Design scalable and efficient machine learning pipelines using cloud-based platforms and distributed computing frameworks.
Explore emerging machine learning trends and technologies, conduct research, and propose innovative approaches for IFEC offerings.
Publish technical papers and submit patents.
Collaborate with data scientists, software engineers, product managers, and internal and external stakeholders to align projects and support their success.
Monitor and optimize machine learning model performance, identify improvements, and implement enhancements.
Mentor engineers and contribute to a culture of excellence and continuous learning.

Benefits

Unlimited PTO for exempt salaried employees; non-exempt hourly employees accrue 14 vacation days, 7 sick days, and 3 personal days annually, with accrual increasing with tenure.
11 company-paid holidays annually and a paid U.S. company-wide shutdown between Christmas and New Year.
Medical insurance options through Aetna and Kaiser (California and Hawaii).
Dental PPO and DMO options.
Vision insurance through EyeMed or VSP.
401(k) with a 50% match on up to 8% contribution, fully vested from day one.
Wellness program and counseling services.
FSA and HSA.
Life insurance for employees, spouses, and children; AD&D insurance; long- and short-term disability; critical illness insurance; and accident insurance.
Legal assistance, pet insurance, and identity theft protection.
Dependent care FLSA.
Education assistance.
Commuter program.
Employee purchase program.
Service award program.
Onsite and hybrid employee amenities at the Irvine headquarters include nearby restaurants and shops, running trails, a fitness deck, outdoor seating, dry cleaning, car wash, free garage parking, car charging stations, train commuter shuttle service, and outdoor games and recreation.