Senior Staff Engineer Machine Learning job opportunity at Motorola Solutions.

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DatePosted 12 Days Ago bot
Motorola Solutions Senior Staff Engineer Machine Learning
Experience: 7-years
Pattern: full-time
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loacation Ho Chi Minh, Vietnam, Vietnam
loacation Ho Chi Minh, V..........Vietnam

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, moving beyond fixed-class taxonomy. Agentic Data Workflows: Architect and implement AI Agentic Workflows to automate the data lifecycle. Design intelligent agents for autonomous data mining, auto-captioning, and Synthetic Data Generation to overcome long-tail edge cases and reduce reliance on manual annotation. Production-Grade AI: Drive the transition of models from research prototypes to production. Collaborate with Embedded AI Engineers to guide the distillation and quantization of heavy Foundation Models for deployment on edge devices. Research Leadership: Act as a lead technical contributor by identifying and spearheading strategic research opportunities. Drive the adoption of cutting-edge methodologies and maintain high technical standards. Influence the team’s direction through deep technical expertise and hands-on experimentation rather than people management. Basic Requirements Basic Qualifications 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 (0-to-1 product lifecycle experience is highly preferred). Demonstrated ability to lead and mentor technical teams in a fast-paced R&D environment. Specific Knowledge/Skills 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. Experience with Active Learning , Auto-labeling , or building "Agentic" systems for data curation is a critical differentiator. Frameworks: Proficiency in PyTorch (preferred) or TensorFlow, and strong programming skills in Python and C++ . Practical Implementation: Strong ability to write clean, maintainable code and experience with MLOps practices (CI/CD for ML, Experiment Tracking). ​ Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan No EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.  We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

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