Motorola Solutions
Public Safety
SeniorStaffEngineerMachineLearning
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“Senior Staff Engineer Machine Learning at Motorola Solutions. Skills: Deep Learning, Generative AI, Data-Centric AI, Computer Vision. Lead the research strategy for Fine-Grained Visual Recognition and Data-Centric AI. Design State-of-the-Art (SOTA) models”
What You'll Achieve.
Help keep people safer everywhere; Build and connect technologies to help protect people, property and places; Foster collaboration critical for safer communities, schools, hospitals, businesses, and nations; Build a safer future; Solve critical real-world challenges in public safety; Revolutionize how we curate, mine, and synthesize training data; Drive the development of next-generation capabilities; Successfully deploying AI models into commercial products
Industry & Context.
Solve critical real-world challenges in public safety; Overcome long-tail edge cases and reduce reliance on manual annotation
What They're Looking For.
Must Have
Bachelor’s Degree or higher in Computer Science, Artificial Intelligence, Computer Vision, Mathematics, or a related technical field, 7+ years of relevant industry experience in Computer Vision and Machine Learning, Proven track record of leading technical initiatives and successfully deploying AI models into commercial products, Demonstrated ability to lead and mentor technical teams in a fast-paced R&D environment, Deep Learning Mastery: Expert-level understanding of Deep Learning architectures, specifically Transformers (ViT, Swin), CNNs (EfficientNet, ResNet), and Object Detection/Segmentation frameworks, Generative AI & Multi-modal: Hands-on experience with Multimodal Foundation Models (CLIP, LLaVA, etc.) and Generative approaches (Diffusion Models, GANs) for data synthesis, Data-Centric AI: Proven track record in building automated data pipelines, Proficiency in PyTorch (preferred) or TensorFlow, Programming skills in Python and C++, Practical Implementation: ability to write clean, maintainable code, Experience with MLOps practices (CI/CD for ML, Experiment Tracking)
Nice to Have
0-to-1 product lifecycle experience is highly preferred, Experience with Active Learning, Auto-labeling, or building "Agentic" systems for data curation is a critical differentiator
What You'll Do.
Lead the research strategy for Fine-Grained Visual Recognition and Data-Centric AI
Design State-of-the-Art (SOTA) models
Pioneer the use of Generative AI and Agentic Workflows
Revolutionize data curation
Bridge the gap between academic research and production-grade solutions
Drive development of next-generation capabilities
Lead R&D of high-performance models for FGVC and Hierarchical Classification
Spearhead exploration of Vision Language Models (VLM) and CLIP-based architectures
Architect and implement AI Agentic Workflows to automate data lifecycle
Design intelligent agents for autonomous data mining
and Synthetic Data Generation
Drive transition of models from research prototypes to production
Guide distillation and quantization of Foundation Models for edge devices
Act as a lead technical contributor by identifying and spearheading strategic research opportunities
Drive adoption of cutting-edge methodologies
Maintain high technical standards
Influence team's direction through deep technical expertise and hands-on experimentation
How You'll Work.
Team & Collaboration
Collaborate with Embedded AI Engineers to guide distillation and quantization; Influence the team’s direction through deep technical expertise and hands-on experimentation rather than people management
Full Job Description
## **Company Overview** At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. ## **Department Overview** We are transitioning from traditional computer vision to an "AI-First" approach, leveraging Foundation Models to solve critical real-world challenges in public safety. ## Job Description We are seeking a **Senior AI Researcher** to act as a technical beacon for our AI Engineering organization. In this high-impact role, you will **lead the research strategy for****Fine-Grained Visual Recognition and Data-Centric AI**. You will not only design State-of-the-Art (SOTA) models but also pioneer the use of Generative AI and Agentic Workflows to revolutionize how we curate, mine, and synthesize training data. This role requires a balance of **deep theoretical knowledge and pragmatic engineering**. You will bridge the gap between academic research (CVPR, ICCV, ECCV) and production-grade solutions, driving the development of next-generation capabilities like semantic scene understanding and open-vocabulary search. **Scope of Responsibilities/Expectations:** * **Advanced Model Research:** Lead the R&D of high-performance models for Fine-Grained Visual Categorization (FGVC) and Hierarchical Classification, focusing on detecting complex object attributes and nuances in unconstrained environments using both Supervised and Self-Supervised Learning (SSL). * **Generative AI & VLM:****** Spearhead the exploration of Vision Language Models (VLM) and CLIP-based architectures to enable Text-to-Image / Image-to-Image retrieval and Open-Set Recognition, movi
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