Principal AI/ML Engineer at Resideo

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.

#LI-MA1 

#LI-HYBRID

Company