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Motorola Solutions

88b Tran Huy Lieu, TP Hồ Chí Minh

Company Size : 100-499

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Job Summary

  • 100-499
  • Product
  • Việt Nam

Senior Staff Machine Learning Engineer

Motorola Solutions

  • Phu Nhuan, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:28/03/2026

  • Apply now
Senior Staff Machine Learning Engineer
Apply now
Technical Skill: Machine Learning , Deep Learning , LLaVA , C++ , Python , Tensorflow , PyTorch , Computer Vision , MLOps , CI/CD

Job description

Overview of job

  • 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.

Job Requirement

  • 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).
  • Education: 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.

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • Machine Learning
  • Deep Learning
  • LLaVA
  • C++
  • Python
  • Tensorflow
  • PyTorch
  • Computer Vision
  • MLOps
  • CI/CD

COMPETENCES

  • Team Leadership
  • Coaching Skills

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BUSINESS PROFILE

Motorola Solutions has revolutionized communications since 1928.

Every day, people all over the world are facing problems, challenges and danger. You hear their call and want to help - so do we. Bring your passion, potential and talents to Motorola Solutions and help create needed technologies and solutions to meet their needs, help them rise to the challenge and make them safer. What you do matters here.

Our teams have much to offer for those who are ready to answer the call, from a culture of collaboration and opportunity for professional growth to competitive compensation and wide-ranging employee benefits. We encourage you to leverage your expertise at Motorola Solutions and enable people everywhere to be their best.

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