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Senior Staff Engineer Machine Learning
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
16/02/2026
Hạn nộp hồ sơ:
18/03/2026
Hình thức:
FULL_TIME
Kinh nghiệm:
7 - 8 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
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
Basic Qualifications
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.
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.
- Technical Leadership: Serve as a Tech Lead for the research team. Mentor data scientists and engineers, define research roadmaps, and foster a culture of innovation by evaluating and adapting emerging techniques from top-tier research.
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.
- 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).
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.
Khu vực
Motorola Solutions
Xem trang công ty
Quy mô:
200 - 500 nhân viên
Địa điểm:
88A-88B Trần Huy Liệu, Phường 15, Quận Phú Nhuận, Tp Hồ Chí Minh
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Nhóm của chúng tôi có nhiều thứ để cung cấp cho những người sẵn sàng đáp ứng cuộc gọi, từ văn hóa hợp tác và cơ hội phát triển nghề nghiệp đến chế độ lương thưởng cạnh tranh và nhiều phúc lợi cho nhân viên. Chúng tôi khuyến khích bạn phát huy kiến thức chuyên môn của mình tại Motorola Solutions và giúp mọi người ở khắp mọi nơi phát huy hết khả năng của mình.
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