Aerospace Data & ML Engineer

Overview

We're Hiring: Aerospace Data & ML Engineer

Full-Time | Core Team

LAT Aerospace | Perception & Autonomy

At LAT Aerospace, we’re building India’s first clean-sheet hybrid-electric STOL aircraft and a next-generation autonomy stack powering aircraft for complex missions. Our team is kicking off a new chapter — developing the full flight-control, obstacle-avoidance, GNSS-denied navigation, and swarm-coordination layers that will define LAT’s autonomy architecture.

We’re hiring an Aerospace Data & ML Engineer to build the pipelines, labeling systems, analytics tooling, and LLM interfaces that transform raw logs into flight intelligence.

What you’ll do?

• Organize and label flight logs, sim logs, design logs, sensor data, and video data into structured datasets.
• Build pipelines to clean, parse, index, and query large volumes of aerospace telemetry.
• Train LLM-based models to interpret logs and generate performance metrics, summaries, and fault signatures.
• Develop internal tools for engineers to search, visualize, and analyze logs quickly.
• Work with autonomy, GNC, and flight-test teams to define which metrics and behaviors must be extracted.

What we're looking for?

• Strong Python skills and experience with data processing, time-series analysis, or telemetry logs.
• Experience training or fine-tuning LLMs or ML models.
• Ability to work with large, messy, multimodal datasets.
• Clear systems thinking — able to design pipelines that make engineers faster.

Why LAT?

• Core-team role building the autonomy brain of India’s most ambitious aerospace startup.
• Ownership, speed, and the opportunity to define a new class of systems from scratch.