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Senior Applied Scientist - Agentic AI at SkyForce Physical AI · Trevo
Company Description
We are a fast-growing, stealth-mode startup dedicated to creating AI-powered products that turn platforms into autonomous systems, allowing users to focus on what truly matters. Our team values collaboration, innovation, and impact, while working at the forefront of cutting-edge AI research. We fuse multimodal LLMs, RAG, reinforcement learning, and edge computer vision into a breakthrough physical AI stack.Backed by a rapidly expanding base of paying customers and strategic partners, we are seeking an applied LLM researcher to conduct end-to-end research efforts. This role offers a rare opportunity to shape core technology from the ground up and play a central role in advancing Physical AI.
Role Description
As an AI Researcher at our stealth‑mode startup, you will spearhead the creation of cutting‑edge algorithms in agentic AI. Your work will span the entire lifecycle, from initial exploratory research to practical implementation, as you develop AI solutions that ensure exceptional performance, efficiency, and reliability for control stations and edge devices functioning in real-world environments.Partnering with fellow researchers, you’ll craft novel approaches and innovative training strategies that thrive under tight computational budgets. At the same time, you’ll collaborate with our software engineering team to deliver production-ready solutions that meet rigorous standards for quality, stability, and throughput, while minimizing model footprint and inference latency.
Requirements
MSc or PhD in Mathematics, Computer Science, Electrical Engineering or Physics.