Senior Staff Machine Learning Engineer

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Department Overview

Our Analytics & AI R&D Center in Vietnam is a strategic innovation hub, dedicated to advancing the frontiers of Video Intelligence. We are transitioning from traditional computer vision to an "AI-First" approach, leveraging Foundation Models to solve critical real-world challenges in public safety.

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Job Description

• 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.

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Basic Requirements

• 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.

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Travel Requirements

Under 10%

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Relocation Provided

None

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Position Type

Experienced

Referral Payment Plan

Yes

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.