As the Staff Engineer, AI Autonomy, you'll be at the forefront of bringing intelligent, learned behavior to real aircraft - building and deploying the vision-language and VLA models that let Archer's eVTOL aircraft, including Midnight, perceive, reason, and navigate in the real world.
What You'll Do:- Develop and integrate multi-model systems; VLN/VLA, perception, and language models.
- Design benchmarks, measure success and failure modes against internal baselines and published results, and report comparisons transparently.
- Fine-tune and adapt foundation models, weighing tradeoffs clearly at each step.
- Validate through data-driven testing in simulation, on hardware, and in flight test, partnering closely with the Safety and Simulation Engineers who check your model's output.
- Take models from prototype to deployed, monitored components running on edge hardware under real latency and power constraints.
What You Need:- 8+ years of experience related to position minimum
- M.S., PhD, or equivalent experience in Computer Science, Robotics, or a related field, with strong applied machine learning depth (exceptional BS candidates also considered).
- Hands-on experience building, fine-tuning, and/or integrating vision-language or VLA models.
- Solid grasp of transformer architectures and multimodal foundation models, including the practical mechanics of fine-tuning a pre-trained checkpoint to a new domain.
- Strong with PyTorch (or comparable frameworks); comfortable owning model-serving integration end to end.
- Real 01 experience - you've built the first version of something, not just iterated on a mature product.
- Comfort with ambiguity. If you need a fully scoped program before you can start, this won't be a fit.
Bonus Qualifications:- VLN or embodied-agent navigation experience (aerial, ground, or indoor robotics).
- Experience with reinforcement learning, imitation learning, or self-supervised training for navigation or control.
- Edge deployment experience (NVIDIA Jetson-class or comparable) - measured and tuned inference latency and memory footprint.
- Shipped evaluation tooling or benchmarks that enable data-driven decisions.
- Experience in or alongside a safety-critical or regulated engineering process (aerospace, automotive, medical devices), even outside an ML-specific role.
About The Team:AI Products is a roughly 100-person software org inside a company of aerospace engineers, and we expect to grow substantially over the next year. You get the resources and momentum of a real org, but the products themselves are early. If you want to hear more about what we're building before you apply, you can't. Apply, and we'll tell you plenty.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company's business strategy. For this position we are targeting a base pay between $195,00.00 - $235,000.00 . Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
