AI​/ML Engineer

9/80 Schedule Available – Every Other Friday Off

AI/ML Engineer - Help Build the Future of Intelligent Aviation

At Universal Avionics, we’ve spent decades building the avionics systems trusted by pilots and operators around the world. Now, through AI Labs, we’re pushing beyond traditional aerospace engineering and exploring what the next generation of intelligent aviation can become.

AI Labs operates with the energy and speed of a startup inside an established aerospace company. We move fast, experiment often, and work on ideas that challenge traditional approaches to avionics and intelligent systems.

This is not a highly siloed environment where engineers stay in one lane. The work evolves constantly. One day you may be developing machine learning models in Python, another day building tooling in C++, testing prototypes, exploring new frameworks, or helping shape entirely new AI-driven capabilities.

We’re looking for engineers who are excited by that kind of environment. People who are curious, adaptable, collaborative, and motivated by building things that have never existed before.

• You like building things from the ground up
• You thrive in fast-moving, startup-style environments
• You want hands‑on experience instead of narrowly scoped work
• You’re excited by AI, innovation, and solving difficult problems
• You enjoy collaborating with smart, motivated engineers
• You want your work to contribute to the future of aviation technology

• Build and support machine learning models and AI solutions
• Work with real-world datasets and scalable data pipelines
• Train, test, and optimize model performance
• Support deployment and monitoring of AI systems
• Experiment with emerging AI technologies and tools
• Collaborate across software, systems, and engineering teams
• Contribute to next-generation aerospace technologies with real-world impact

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
• 1–3 years of experience in AI, ML, or software development
• Familiarity with Tensor Flow, PyTorch, Keras, or scikit-learn
• Understanding of machine learning fundamentals and model evaluation
• Experience working with Pandas, Num Py, or similar data tools
• Strong communication and problem‑solving skills
• Ability to adapt and learn in a fast-changing technical environment

• Startup‑style energy with the backing of an established aerospace company
• Opportunity to work on emerging AI technologies in aviation
• High visibility and meaningful technical ownership
• Exposure to a wide variety of tools, systems, and engineering challenges
• Collaborative team culture focused on innovation and continuous learning
• Work that directly contributes to the future of intelligent avionics

We challenge traditional approaches and explore what’s possible with AI in aerospace.

We value engineers who continuously learn, experiment, and adapt.

We trust our engineers to take initiative, solve problems, and contribute ideas.

We believe the best ideas come from strong teams working together.

• Medical, dental, and vision coverage
• 401(k) with safe harbor match after 60 days of employment
• 9/80 schedule - every other Friday off
• 14 paid holidays + vacation and sick time
• Gym and wellness programs
• Career growth and learning opportunities

This role is based on‑site in Tucson, Arizona due to the highly collaborative and fast‑moving nature of development within AI Labs.

Our teams work in an environment designed for experimentation, innovation, technical collaboration, and rapid iteration.

If you’re excited about AI, building innovative technology, and helping shape the future of intelligent aviation, we’d love to connect.

Universal Avionics’ products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.