ML/AI Founding Engineer

Navi AI • San Francisco, CA

3d

About The Position

At Navi, artificial intelligence isn’t an experiment — it’s mission-critical. We’re building the AI co-pilot that will analyze flight data, interpret human performance, and deliver feedback that makes pilots safer and more effective. As an AI/ML Engineer, you’ll design and deploy the machine learning systems that power everything from student training flights to commercial airline operations to high-performance fighter jet sorties.

Requirements

• Strong background in machine learning and AI , with hands-on experience in Python and frameworks like TensorFlow or PyTorch.
• Skilled in backend engineering: APIs, databases, and scalable infrastructure.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure).
• Comfortable working with large, complex datasets and building real-time data pipelines.
• Analytical, collaborative, and relentless about solving hard problems.

Nice To Haves

• knowledge of aviation, simulation, or flight dynamics.

Responsibilities

• Model Development: Design, train, and deploy machine learning models that assess pilot performance and generate actionable feedback.
• Integration: Collaborate with full-stack and product teams to ensure AI models integrate seamlessly into cockpit-ready tools.
• Optimization: Tune algorithms for speed and accuracy to handle real-time telemetry, cockpit audio, and large-scale flight datasets.
• Infrastructure: Build robust APIs and backend systems for scalable inference across schools, airlines, and squadrons.
• Continuous Learning: Architect systems that improve over time, incorporating new data and evolving with pilot performance.
• Research: Stay ahead of the curve on ML techniques, applying advances in AI to aviation and defense.

Benefits

• Early-stage equity — ownership in a company redefining aviation and defense.
• Flight training — earn your pilot’s license and apply AI insights with firsthand knowledge.
• Cutting-edge challenges — real-world ML on telemetry, audio, and human performance data.
• Community — join a crew that codes by day and flies together on weekends to destinations like Truckee, Sedona, or Catalina.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed