MTS IV, Software

Panasonic•Irvine, CA

About The Position

Panasonic Avionics Corporation is seeking an MTS IV, Software 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 using machine learning to enhance In-Flight Entertainment & Connectivity (IFEC) systems and improve the passenger experience. The position leads the design and implementation of complex, scalable, robust, and high-performance systems; develops and deploys machine learning models and predictive analytics; and contributes to machine learning frameworks, tools, and technologies. It also helps guide machine learning infrastructure and deployment architecture, designs cloud-based and distributed data pipelines, and represents the team in stakeholder discussions. The successful candidate will research emerging technologies, propose new approaches, optimize model performance, collaborate with technical and product teams, and share knowledge through mentorship. The position may also involve publishing technical papers and submitting patents.

Requirements

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

Nice To Haves

Advanced degree preferred.
Experience in the aerospace or tech industry preferred.
Ability to write technical publications preferred.
Expertise in specialized areas such as distributed computing, deep learning, or natural language processing.
Prior contribution 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 use 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.
Contribute to architectural decisions about machine learning infrastructure and deployment pipelines.
Represent the team in stakeholder discussions, explain technical concepts, and recommend technical direction.
Design scalable, efficient machine learning pipelines using cloud-based platforms and distributed computing frameworks.
Research emerging machine learning trends and technologies 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.
Monitor and optimize machine learning model performance and implement improvements.
Mentor engineers and contribute to a culture of technical 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 per year and a paid U.S. company-wide shutdown between Christmas and New Year.
Medical insurance options through Aetna and Kaiser in California and Hawaii.
Dental PPO and DMO options.
Vision insurance through EyeMed or VSP.
401(k) with a 50% match on up to an 8% contribution; fully vested from day one.
Wellness program.
Counseling services.
Flexible spending account (FSA) and health savings account (HSA).
Life insurance for employees, spouses, and children.
AD&D insurance.
Long-term and short-term disability insurance.
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.