Archer
AI Autonomy Engineer
About this role
Join Archer as an AI Autonomy Engineer to develop and deploy vision-language and VLA models that enable aircraft to perceive, reason, and navigate autonomously. You'll build multi-model systems, validate through simulation and flight testing, and take AI solutions from prototype to production on edge hardware.
What you'll do
- Develop and integrate multi-model systems including VLN/VLA, perception, and language models
- Design benchmarks and measure success metrics against internal baselines and published results
- Fine-tune and adapt foundation models with clear documentation of tradeoffs
- Validate models through data-driven testing in simulation, on hardware, and flight test
- Deploy models to edge hardware with monitoring under real latency and power constraints
- Partner with Safety and Simulation Engineers to verify model outputs
What they're looking for
- Vision-language models (VLM/VLA)
- Machine learning model fine-tuning and adaptation
- Perception and computer vision
- Edge AI and hardware deployment
- Data-driven testing and benchmarking
- Python or similar ML languages
- Robotics or autonomous systems experience
- Simulation and flight test validation
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Archer
Archer develops all-electric vertical takeoff and landing (eVTOL) aircraft for sustainable aviation. The company is hiring engineers across electrical integration, software, aerodynamics, and controls to build and validate autonomous flight systems, propulsion architectures, and aircraft design.
View all jobs at ArcherLikely interview questions
- Describe your hands-on experience building, fine-tuning, or integrating vision-language or VLA models—what were the key challenges?
- How have you approached validating AI models in safety-critical applications like robotics or autonomous systems?