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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML - Senior Associate - Machine Learning Engineer - **Company:** Panasonic Avionics Corporation - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $97,000.0 - $162,000.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Artificial Intelligence, Database Applications, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Data Processing, Feature Engineering, Pytorch, Information Technology, Data Pipelines - **Published:** September 7, 2026 - **Apply:** https://nlppeople.com/apply/4qw ## About the Role Bachelor's degree in computer science, Data Science, Software Engineering, or a related field. Advanced degree preferred. 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.What We Offer, Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Natural Language Processing, NLP, United States ## Description 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 What you will be doing: Algorithm Development & Implementation 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.Machine Learning Infrastructure & Engineering Develop advanced feature engineering techniques. Build robust data pipelines for efficient model training and inference.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.Collaboration & Documentation 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.The salary range of $97,000 - $162,000 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. ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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