Motorola Solutions

Principle Machine Learning Engineer (Computer Vision & AI Algorithms)

Motorola Solutions
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10 days ago
Ho Chi Minh City, VietnamSenior

Responsibilities

  • Design, train, and fine-tune deep learning models for vehicle attribute detection and optical character recognition.
  • Develop computer vision algorithms using CNNs, Vision Transformers, diffusion models, GANs, and synthetic data generation.
  • Write clean, efficient, documented, and maintainable production code in Python and/or C++.
  • Profile and optimize models for edge inference using quantization, pruning, and deployment runtimes such as TensorRT, TFLite, and ONNX.
  • Develop large-scale AI algorithms and pipelines to mine insights from massive cloud-based video and image datasets.
  • Integrate vision-language models for text-to-image retrieval and support agentic or active learning workflows.

Requirements

  • Bachelor’s or master’s degree in computer science, artificial intelligence, computer vision, or a related technical field.
  • At least 7 years of professional experience in applied machine learning, computer vision, or AI research and development.
  • Hands-on experience transitioning research prototypes into robust commercial production systems.
  • Deep practical expertise with PyTorch or TensorFlow.
  • Strong Python and/or C++ programming skills in Linux environments.
  • Deep expertise in either edge AI optimization and deployment or cloud-scale AI model training, computer vision, and data mining.
  • Preferred: familiarity with multimodal foundation models such as CLIP or LLaVA for open-set recognition or text-to-image retrieval.
  • Preferred: experience building agentic workflows or automated active learning systems.

Benefits

  • No travel is required.
  • No relocation is provided.
  • The position is onsite.
  • The role is an experienced individual-contributor position.

Tech Stack

Categories

Motorola Solutions

About Motorola Solutions

10,000+ employees

Motorola Solutions builds mission‑critical communications, video security and access control, body‑worn cameras, and command‑center software for public safety agencies and enterprises. It sells radios and LMR/P25 systems, cloud software, and managed services used by police, fire, and critical infrastructure operators. Headquartered in Chicago and publicly traded on the NYSE (MSI), the company was formed in 2011 after Motorola’s split and operates globally.

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