Job Description
Amazon is seeking a highly motivated and talented Computer Vision Machine Learning Intern to join our world-class technology team. This remote internship offers the opportunity to work with Amazon’s cutting-edge computer vision, deep learning, and AI systems powering innovations across our products and services. You will gain hands-on experience designing, developing, and deploying machine learning models, while collaborating with industry-leading engineers and researchers on real-world challenges in image and video understanding.
Key Responsibilities
• Design and develop scalable machine learning and computer vision models using large-scale datasets
• Collaborate with data scientists and engineers to build and optimize algorithms for object detection, facial recognition, image classification, and video analysis
• Assist in the collection, preprocessing, and annotation of image and video datasets
• Perform literature reviews and experiment with state-of-the-art techniques in deep learning and neural networks
• Evaluate model performance using statistical and analytical tools, and present findings to technical teams
• Write clean, modular code and develop technical documentation for prototypes and deliverables
• Contribute to research publications, patents, and conference presentations where applicable
Required Skills and Qualifications
• Currently pursuing a Bachelor's, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related field
• Solid foundation in machine learning, deep learning, and computer vision concepts
• Proficiency in Python, with experience in libraries such as TensorFlow, PyTorch, OpenCV, or Keras
• Strong knowledge of data structures, algorithms, and software development principles
• Good understanding of neural network architectures like CNNs, RNNs, GANs, and transformers
• Familiarity with cloud services such as AWS (S3, SageMaker, EC2) is a plus
• Excellent analytical, communication, and problem-solving skills
Experience
• Hands-on experience through academic projects, research, or previous internships in the field of computer vision or machine learning
• Published papers or contributions to open-source AI projects will be considered an advantage
• Experience working with large datasets and training deep learning models
Working Hours
• Flexible remote schedule
• Approx. 20–40 hours per week depending on intern availability
• Duration: 3 to 6 months with possibility of extension or full-time conversion
Knowledge, Skills, and Abilities
• A passion for AI, innovation, and solving real-world problems using technology
• Self-starter mindset with the ability to work independently in a virtual team environment
• Strong organizational skills, attention to detail, and the ability to manage multiple tasks
• Willingness to learn and stay updated with the latest research in the field of AI and machine learning
Benefits
• Work remotely from anywhere in the world
• Mentorship from senior Amazon engineers and scientists
• Opportunity to contribute to impactful projects used by millions of customers globally
• Gain exposure to AWS tools and Amazon’s internal ML platforms
• Certificate of completion and letter of recommendation based on performance
• Potential consideration for future full-time roles
Why Join Amazon
At Amazon, innovation is at the core of everything we do. As a Computer Vision ML Intern, you'll be part of a company that values experimentation, research, and pushing the boundaries of what's possible. This is your chance to grow in a dynamic, inclusive, and technology-driven environment where your contributions will shape the future of intelligent systems across our global ecosystem.
How to Apply
Interested candidates should apply online through the official Amazon careers portal or email their resume, portfolio (if applicable), and a brief cover letter to internships@amazon.jobs. Subject: Application for Computer Vision Machine Learning Intern (Remote)
Amazon is an equal opportunity employer and values diversity in its workforce.
Key Responsibilities
• Design and develop scalable machine learning and computer vision models using large-scale datasets
• Collaborate with data scientists and engineers to build and optimize algorithms for object detection, facial recognition, image classification, and video analysis
• Assist in the collection, preprocessing, and annotation of image and video datasets
• Perform literature reviews and experiment with state-of-the-art techniques in deep learning and neural networks
• Evaluate model performance using statistical and analytical tools, and present findings to technical teams
• Write clean, modular code and develop technical documentation for prototypes and deliverables
• Contribute to research publications, patents, and conference presentations where applicable
Required Skills and Qualifications
• Currently pursuing a Bachelor's, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related field
• Solid foundation in machine learning, deep learning, and computer vision concepts
• Proficiency in Python, with experience in libraries such as TensorFlow, PyTorch, OpenCV, or Keras
• Strong knowledge of data structures, algorithms, and software development principles
• Good understanding of neural network architectures like CNNs, RNNs, GANs, and transformers
• Familiarity with cloud services such as AWS (S3, SageMaker, EC2) is a plus
• Excellent analytical, communication, and problem-solving skills
Experience
• Hands-on experience through academic projects, research, or previous internships in the field of computer vision or machine learning
• Published papers or contributions to open-source AI projects will be considered an advantage
• Experience working with large datasets and training deep learning models
Working Hours
• Flexible remote schedule
• Approx. 20–40 hours per week depending on intern availability
• Duration: 3 to 6 months with possibility of extension or full-time conversion
Knowledge, Skills, and Abilities
• A passion for AI, innovation, and solving real-world problems using technology
• Self-starter mindset with the ability to work independently in a virtual team environment
• Strong organizational skills, attention to detail, and the ability to manage multiple tasks
• Willingness to learn and stay updated with the latest research in the field of AI and machine learning
Benefits
• Work remotely from anywhere in the world
• Mentorship from senior Amazon engineers and scientists
• Opportunity to contribute to impactful projects used by millions of customers globally
• Gain exposure to AWS tools and Amazon’s internal ML platforms
• Certificate of completion and letter of recommendation based on performance
• Potential consideration for future full-time roles
Why Join Amazon
At Amazon, innovation is at the core of everything we do. As a Computer Vision ML Intern, you'll be part of a company that values experimentation, research, and pushing the boundaries of what's possible. This is your chance to grow in a dynamic, inclusive, and technology-driven environment where your contributions will shape the future of intelligent systems across our global ecosystem.
How to Apply
Interested candidates should apply online through the official Amazon careers portal or email their resume, portfolio (if applicable), and a brief cover letter to internships@amazon.jobs. Subject: Application for Computer Vision Machine Learning Intern (Remote)
Amazon is an equal opportunity employer and values diversity in its workforce.
💡 Quick Summary
Seeking a career-building opportunity? The Computer Vision Machine Learning Intern - Work From Anywhere position is now open for candidates interested in the Work from home Jobs sector. This role in Jaipur offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.