Augmentus – Perception / AI / Machine Learning Intern

Company
Augmentus
augmentus.tech
Designation
Perception / AI / Machine Learning Intern
Date Listed
03 Jul 2024
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
Engineering
Industry
Artificial Intelligence / Smart Automation
Location Name
81 Science Park Drive, Singapore
Address
81 Science Park Dr, Singapore 118257
Map
Allowance / Remuneration
$1,000 - 1,500 monthly
Company Profile

Join the revolution at Augmentus—a global AI-robotics company that's pushing the boundaries of robotic automation. With our cutting-edge technologies, we're blazing a trail in intelligent 3D scanning and AI-powered robot motion planning. Imagine unleashing your creativity without any coding constraints—our platform empowers non-technical operators to program robots in just minutes instead of months. From rapid digitization of robot cells to the seamless generation of complex robot motion, our proprietary solutions redefine automation efficiency and brings intelligence to robotics.

At Augmentus, we're not just reimagining robotics, we're transforming the human-machine interface itself. Join us and be part of the force democratizing robotic automation, shaping a future where people work with robots, not like robots.

Job Description

About your role

  • Implement cutting-edge point cloud matching algorithms.
  • Prepare data and optimize hyperparameters for deep learning models.
  • Apply transfer learning techniques with additional classes.
  • Evaluate performance differences between Cloud and On-premise training and inference.
  • Implement and evaluate neural network models on iOS NPU.

 

Requirements

  • Preferably with an education background of Computer Science and experience with AI
  • You are familiar with 3D camera setup and communication protocols
  • Have a firm understanding of various types of neural networks and optimization strategies.
  • You are fond of agile software development and tools (Scrum, Jira)
  • Possess a strong foundation in Python and a good understanding of deep learning frameworks.
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