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AI Research & Development Specialist

AI Research & Development Specialist

Richtech Robotics Inc.Las Vegas, NV, US
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Job Description

Job Description

Salary : THE JOB

We are looking for AI R&D Engineers (12 positions) to join our team and contribute to cutting-edge research and development in artificial intelligence. This role will focus on developing, optimizing, and deploying AI algorithms across computer vision, multimodal perception, speech recognition and generation, and robotics applications. You will collaborate closely with hardware and software teams to ensure efficient end-to-end AI system performance.

THE DAY-TO-DAY

  • Research, design, and optimize AI algorithms in areas such as computer vision, multimodal perception, and speech processing.
  • Manage multimodal data acquisition (video, audio, sensor data, etc.), ensuring quality and synchronization.
  • Develop tools and workflows for data collection, labeling, cleaning, and validation to support model training and iteration.
  • Deploy, test, and integrate AI models into real-world applications based on business needs.
  • Collaborate with cross-functional hardware and software teams to optimize data pipelines and algorithm performance.

THE IDEAL CANDIDATE

  • Bachelors degree or higher in Computer Science, Artificial Intelligence, Automation, or related fields.
  • Proficient in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow).
  • Hands-on experience in data acquisition and processing (video streams, sensor data, distributed data).
  • Practical expertise in at least one AI domain (Computer Vision, Speech Processing, or Natural Language Processing).
  • Familiar with Linux development environments and cloud services (AWS, GCP, Alibaba Cloud) or distributed computing frameworks.
  • Strong collaboration skills with the ability to work across interdisciplinary teams.
  • NICE TO HAVE

  • Experience with multimodal data acquisition systems or robotics projects.
  • Proficiency in C++ or Rust for high-performance programming.
  • Knowledge of DevOps / MLOps practices for AI deployment and lifecycle management.
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    Research Specialist • Las Vegas, NV, US

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