VinDynamics

VinDynamics designs humanoid robots focused on home use, offering safe and affordable assistance for daily tasks. The company combines research-grade hardware with intelligent software to support…

AI & Machine LearningComputer Vision & PerceptionHumanoid RobotsMade in Vietnam InnovationMechatronics & Embedded SystemsMotion Control & NavigationProduct Development & R&DRobotics Design & Prototypingvindynamics.net

VinDynamics

VinDynamics designs humanoid robots focused on home use, offering safe and affordable assistance for daily tasks. The company combines research-grade hardware with intelligent software to support…

HQVN

Team Size31

Open Jobs33

Total Funding-

Latest FundraiseUnknown

Join the Team

Head of AI Application

On-SiteHanoi, Hanoi, VN

On-Site • Hanoi, Hanoi, VN

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Relevant Education and Experience

Bachelor’s, Master’s, or PhD in Artificial Intelligence, Computer Science, Robotics, or related fields
7+ years of experience in AI or robotics R&D, including 3+ years in a lead or managerial role
Strong expertise in:
Computer vision (object detection, segmentation, pose estimation)
Transformer-based architectures (ViT, CLIP, BLIP, LLaVA, RT-2, OpenVLA)
Hands-on experience training and deploying multimodal AI models
Proficiency in Python, PyTorch, TensorFlow, and modern AI toolchains
Experience in designing AI pipelines for data ingestion, annotation, and analytics (Pandas, Spark, or similar)
Strong understanding of model optimization
Excellent communication, leadership, and strategic planning skills for managing multidisciplinary AI teams

Preferred Qualifications

Research background in Vision-Language Models (VLM) or Embodied AI
Publications in top-tier AI conferences (CVPR, ICCV, NeurIPS, ICRA, CoRL)
Familiarity with:

Personality / Attitude

Excellent communication, leadership, and strategic planning skills
Ability to manage multidisciplinary AI teams

Job Description

Integration of AI modules into robotic control systems

Experience in AI-based security analytics:

Behavioral event detection

Knowledge of data visualization and AI performance dashboards for robot fleet management

Experience in building AI infrastructure (MLOps, model versioning, experiment tracking)

Familiarity with LLM safety alignment and hallucination mitigation in VLM/VLA systems

Define the AI technical roadmap covering Computer Vision and Behavioral Data Analytics

Lead teams specializing in:

Perception (VLM / Vision)

Data analysis (behavior modeling, performance analytics)

Design and supervise the development of AI models enabling robots to:

Perceive environments

Recognize human actions

Plan context-aware responses

Oversee large-scale data collection, annotation, and training pipelines for multimodal datasets (video, text, audio, sensor)

Implement model monitoring, evaluation, and retraining pipelines for continuous improvement and safety assurance

Guide research directions in embodied intelligence and multimodal learning

Mentor engineers and researchers:

Foster high-performance culture

Set clear quarterly OKRs

Ensure measurable outcomes