Principle Machine Learning Engineer (Computer Vision & AI Algorithms)
Motorola Solutions10 days ago
Ho Chi Minh City, VietnamSenior
Responsibilities
- Design, train, and fine-tune deep learning models using CNNs and Vision Transformers for vehicle attribute detection and OCR.
- Develop production-quality Python or C++ code for computer vision and AI systems.
- Apply data-centric AI methods, including synthetic data generation with Diffusion Models or GANs.
- For edge-focused work, profile models, optimize latency, apply quantization and pruning, and deploy models through TensorRT, TFLite, or ONNX on embedded hardware.
- For cloud-focused work, build large-scale machine learning algorithms and AI pipelines for massive datasets, including Vision-Language Model-based retrieval.
- Transition research models and prototypes into robust commercial production systems.
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 developing and commercializing machine learning models.
- Deep practical proficiency with PyTorch or TensorFlow.
- Strong programming skills in modern Python and/or C++ in Linux environments.
- Deep expertise in either edge AI optimization and deployment or large-scale cloud AI model training and data mining.
- Preferred experience with multimodal foundation models such as CLIP or LLaVA, open-set recognition, text-to-image retrieval, agentic workflows, or automated active learning systems.
Benefits
- No travel is required.
- No relocation is provided.
- The role is onsite.
Categories
About Motorola Solutions
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.