DescriptionAt Resideo were building the future of the smart homeintelligent adaptive and deeply aware of its environment. As part of ourAI Team youll help deliver real-world machine learning systems that power next-generation experiences across security energy and automation.
Were looking for aPrincipal AI/ML Engineerwith a secure foundation inAI/MLand applied experience incomputer vision and/or large language modelsto lead the design and deployment of models that run across edge devices cloud platforms and connected products. This is not a pure research roleits about translating deep learning advances into performant production-grade systems that run at scale.
Youll 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 powerparticularly 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 deliverytranslating 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 stackfrom data preparation and model training to deployment and observability
- Familiarity with LLMs agentic workflows etc
WHATS 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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Required Experience:
Staff IC