Research Engineer - Perception and Machine Learning

Job description

We are seeking Research Engineers to serve as technical pillars within the Surreal Team. In this role, you will move beyond algorithm implementation to architecting the systems that power always-on contextual AI. This position sits at the intersection of Computer Vision, Embodied AI, and Multimodal LLMs. You will drive the engineering efforts to bring research breakthroughs from high-compute clusters to power-constrained, egocentric devices like smart glasses and robotic platforms. Responsibilities: Algorithm & System Implementation: Translate cutting-edge research in Vision-Language Models (VLMs), Reinforcement Learning, and Multimodal LLMs into performant, real-world applications on smart glasses and robotic platforms - End-to-End Ownership: Own the full lifecycle of feature development, from initial prototyping and data collection to deployment and system integration - Experimental Rigor: Design and lead large-scale ablation studies; develop robust benchmarking suites to evaluate and iterate on next-gen contextual AI - Cross-Functional Influence: Partner with Hardware Engineers to influence sensor/silicon design and collaborate with Researchers and Product Managers to define the...