At Resideo, we’re building the future of the smart home—intelligent, adaptive, and deeply aware of its environment. As part of our AI Team, you’ll help deliver real-world machine learning systems that power next-generation experiences across security, energy, and automation.

We’re looking for a Principal AI/ML Engineer with a secure foundation in AI/ML and applied experience in computer vision and/or large language models to lead the design and deployment of models that run across edge devices, cloud platforms, and connected products. This is not a pure research role—it’s about translating deep learning advances into performant, production-grade systems that run at scale.

You’ll work on a range of problems including object detection, video summarization, activity recognition, sensor fusion, and lightweight inference, blending vision and broader AI techniques to unlock valuable product features.

JOB DUTIES:

Architect, build, and optimize AI pipelines that span from embedded vision models to cloud-based analytics. Design and deploy deep learning models for object detection, event recognition, behavior classification, and other real-time inference tasks. Contribute to multi-modal AI efforts involving video, image, audio, sensor data, and context-driven inference. Collaborate with engineering teams across firmware, cloud, and mobile to deliver integrated and efficient AI experiences. Lead rapid prototyping of intelligent features, guiding experimentation and de-risking technical approaches. Tune models for performance across cost, latency, accuracy, and power—particularly on embedded and edge devices. Stay informed on relevant advances in AI (e.g., vision transformers, sensor fusion, embedded ML), and help identify where new techniques can bring product impact. Mentor junior engineers and provide technical leadership across project teams.

YOU MUST HAVE: 

5+ years experience developing and deploying production-grade AI/ML solutions, with at least 2+ years in computer vision or Large Language Models domains. Proficiency in deep learning frameworks like PyTorch or TensorFlow, and strong Python programming skills.

WE VALUE: 

Experience with vision models (e.g., YOLO, EfficientDet, MobileNet, ResNet) as well as general ML. Proven ability to balance experimentation with delivery—translating research into customer-facing functionality. Practical understanding of vision pipelines, video analytics, and false alarm reduction. Experience integrating AI models into embedded systems, mobile apps, or smart devices. Comfort working across the AI stack—from data preparation and model training to deployment and observability Familiarity with LLMs, agentic workflows, etc

WHAT'S IN IT FOR YOU: 

Opportunity to have a direct impact on high-scale projects and products selling to millions of homes and businesses worldwide. Play a key role in driving a world where people are healthy, happy, safe, and secure through innovative AI and IoT solutions. Full ownership of a dynamic tech stack and the chance to work with cutting-edge technologies. Collaborate with high-performing, cross-functional teams in an agile and intellectually stimulating environment.

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