Highlights
Hands-on ML experience, mentorship from experts, opportunity for full-time conversion.
Description
Job Summary
pJoin Aftershoot as a Machine Learning Intern and contribute to the development of innovative AI tools for photographers. Work closely with experienced ML engineers on projects that push the boundaries of computer vision and generative AI, focusing on real-world applications that enhance post-processing efficiency.
Responsibilities
- Assist in designing, developing, and evaluating deep learning models for vision-based use cases.
- Experiment with architectures such as CNNs, GANs, VAEs, and diffusion models.
- Contribute to data preprocessing, augmentation, and visualization workflows.
- Collaborate with cross-functional teams to iterate quickly on ideas.
- Conduct literature reviews and apply the latest research techniques in Generative AI and image processing.
- Build reproducible training/inference pipelines using PyTorch or TensorFlow.
Required Skills
- Deep Learning fundamentals, especially CNNs and image-based architectures.
- Familiarity with GANs, VAEs, diffusion models, image segmentation, inpainting, text-to-image models.
- Proficient in Python, with experience in PyTorch or TensorFlow.
- Experience with at least one computer vision or generative model project.
- Eagerness to learn and experiment in a fast-paced environment.
Required Skills Explained
- Deep Learning Fundamentals: Understanding of Convolutional Neural Networks (CNNs) and image-based architectures.
- Generative AI Models: Familiarity with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and diffusion models.
- Python Proficiency: Experience with Python, specifically in PyTorch or TensorFlow for deep learning tasks.
- Computer Vision Projects: Hands-on experience with computer vision projects, either coursework or personal projects.
- Data Preprocessing: Knowledge of data preprocessing, augmentation, and visualization techniques.
Who is this for
pThis role is ideal for students currently pursuing or recently completed their Bachelor's/Master's degree in Computer Science, Electrical Engineering, AI, or related fields. Passionate individuals looking to gain hands-on experience in developing cutting-edge AI solutions are encouraged to apply.
Why This Job is a Good Opportunity
ulliHands-On Experience: Work closely with experienced ML engineers on real-world projects that push the boundaries of visual understanding and generation.liMentorship: Receive mentorship from seasoned professionals working on cutting-edge problems in AI for photography.liFull ML Lifecycle: Gain exposure to the entire machine learning lifecycle, from research to deployment.liReal-World Impact: Contribute to impactful, production-grade vision systems that make a difference in the lives of global photographers.liFuture Opportunities: Perform exceptionally and you could transition into a full-time role after six months.
Interview Preparation Tips
- Review Deep Learning Concepts: Ensure a strong grasp of CNNs, GANs, VAEs, and diffusion models.
- Practice Coding Questions: Use platforms like LeetCode or HackerRank to practice coding challenges related to deep learning and computer vision.
- Understand Data Preprocessing Techniques: Be prepared to discuss data augmentation, visualization, and other preprocessing methods.
- Leverage Open Source Projects: Familiarize yourself with open-source projects in the field of computer vision and generative AI.
- Stay Updated on Research: Regularly read recent research papers related to Generative AI and image processing.
Career Growth in This Role
pThe role offers significant career growth opportunities. As an intern, you will work closely with experienced ML engineers on innovative projects that solve real-world problems in photography. This experience will not only enhance your technical skills but also provide valuable mentorship from industry experts. The exposure to the full ML lifecycle—from research to deployment—will help you understand how machine learning solutions are built and implemented. Additionally, the potential for a full-time role after six months provides clear career advancement prospects.
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Skills
Frequently Asked Questions
What kind of projects will I be working on?You’ll work on projects that push the boundaries of computer vision and generative AI, focusing on real-world applications like post-processing efficiency for photographers.
Is this role suitable for recent graduates?Absolutely! This position is ideal for individuals who have recently completed or are currently pursuing their degree in Computer Science, Electrical Engineering, or a related field.
What’s the opportunity for career growth?Perform well and you could convert into a full-time role at Aftershoot after the 6-month internship period.
