Machine Learning Intern

Autonomize AI is seeking a highly motivated Machine Learning intern focused on NLP/LLM to join our core ML engineering team.

Autonomize is pioneering the use of AI to turn unstructured, dark data into actionable insights for healthcare knowledge workers. We strive to simplify the journey from raw data to valuable insights by leveraging the power of machine learning and computer vision. Our team comprises serial entrepreneurs, data scientists, and engineers who are disrupting the healthcare industry by bridging the gap between data and decision-making. This internship provides a unique opportunity to work with a global, remote team of experts who are committed to human-machine collaboration, industry disruption, and most importantly, scaling AI.

About The Role

As a Machine Learning Engineering Intern, you will contribute to the development and improvement of document understanding solutions for healthcare, using cutting-edge techniques such as OCR, vision-to-text multimodal models, and LLMs. You will work alongside experienced engineers, gaining practical experience in solving real-world problems related to document processing.

What You Will Learn And Contribute

• Develop and refine your Python and shell scripting skills.
• Learn about and experiment with transformer-based vision and multimodal models like LayoutLM.
• Become familiar with PDF processing tools such as PyPDF2 and pdfplumber.
• Explore text extraction and structuring tools like Tabula or similar.
• Gain practical experience using deep learning frameworks like TensorFlow or PyTorch.
• Work in a collaborative team environment and contribute to real-world projects.

• Solid understanding of programming concepts and a willingness to learn.
• Basic to intermediate Python skills.
• A strong interest in machine learning, computer vision, and NLP.
• A proactive attitude and a desire to learn new technologies and techniques.
• Ability to work effectively in a team environment.
• Good communication skills in English (written and verbal).

• Familiarity with basic image processing concepts.
• Exposure to any machine learning concepts or libraries.
• Experience with version control systems like Git.

• Practical experience in developing real-world machine learning solutions.
• Mentorship from experienced machine learning engineers.
• Exposure to cutting-edge technologies in document understanding.
• Valuable experience working in a collaborative team environment.

This internship is a great opportunity for students or recent graduates looking to gain hands-on experience in machine learning and contribute to impactful projects in the healthcare domain.