Panasonic Avionics Corporation · 3 hours ago
Machine Learning Engineer IV
Panasonic Avionics Corporation is a leader in providing inflight entertainment and connectivity solutions. They are seeking a Machine Learning Engineer IV to lead machine learning projects, design and implement data-driven solutions, and collaborate with cross-functional teams to enhance passenger experiences.
Consumer ElectronicsInformation TechnologyManufacturingTelecommunications
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
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
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 concepts and insights to drive project alignment and success
Continuously monitor and optimize the performance of machine learning models, identifying areas for improvement and implementing enhancements to achieve optimal results
Mentor engineers, provide technical guidance, and contribute to the development of a culture of excellence and continuous learning within the team
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field
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
Preferred
Advanced degree preferred
Ability to write technical publications preferred
Benefits
Paid time off: Exempt Salaried employees receive unlimited PTO.
Medical insurance offerings from Aetna and Kaiser (CA &HI).
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.
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
Company
Panasonic Avionics Corporation
For 40 years, Panasonic Avionics has strengthened the connection between the world’s airlines and their passengers.
Funding
Current Stage
Late StageRecent News
2025-12-07
2025-11-19
2025-11-19
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