Navi AI
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.
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.
About You
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.
Bonus: knowledge of aviation, simulation, or flight dynamics.
Why This Role Matters Pilots trust their instruments with their lives. The models you build must earn that same trust — precise, reliable, and battle‑tested. As one of Navi’s first AI engineers, you’ll help define the intelligence behind our co‑pilot system and shape how aviation training evolves across the world.
What You’ll Get
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.
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
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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.
About You
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.
Bonus: knowledge of aviation, simulation, or flight dynamics.
Why This Role Matters Pilots trust their instruments with their lives. The models you build must earn that same trust — precise, reliable, and battle‑tested. As one of Navi’s first AI engineers, you’ll help define the intelligence behind our co‑pilot system and shape how aviation training evolves across the world.
What You’ll Get
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.
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr