Computer Vision/Deep Learning Intern

Computer Vision/Deep Learning Intern & Robotics/SLAM Intern (Unpaid, Remote)

About Us

Find Me is a cutting-edge platform that empowers users to create and share customizable portfolios in categories such as Personal, Corporate, Academic, Business, and Matrimony. Join us to be a part of our innovative team where your contributions will directly shape the future of our platform.

Position 1: Computer Vision/Deep Learning Intern

Job Responsibilities

We are looking for a Computer Vision Engineer to join our team. The primary focus of the role will be on developing an object detection model that can detect and classify objects based on specific instructions. Responsibilities include:

     •           Designing, training, and optimizing deep learning models.

     •           Implementing object detection, segmentation, and classification techniques.

     •           Applying auto-labeling and vision-language models to enhance performance.

Required Skills

     •           Pursuing or completing a BS/MS in Computer Science, Electrical Engineering, Robotics, or a related technical field.

     •           Strong programming skills in Python.

     •           Hands-on experience with PyTorch and deep learning frameworks.

     •           Familiarity with image processing techniques and object detection algorithms.

     •           Experience in training and fine-tuning machine learning models for deployment.

     •           Solid understanding of data structures, algorithms, and computer vision principles.

Preferred Skills

     •           Familiarity with version control systems like Git.

     •           Knowledge of cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.

     •           Understanding of CI/CD pipelines and model monitoring best practices.

Position 2: Robotics/SLAM Intern

Job Responsibilities

We are looking for a State Estimation Engineer to develop visual SLAM and Mapping algorithms that operate efficiently on limited computational resources. Responsibilities include:

     •           Designing Monocular SLAM, Structure from Motion, and Pose Graph Optimization solutions.

     •           Implementing algorithms involving IMU and camera sensors, such as MSCKF, VINS, and ORB-SLAM.

     •           Developing scalable and efficient mapping techniques.

Required Skills

     •           Pursuing or completing a BS/MS in Computer Science, Electrical Engineering, Robotics, or a related technical field.

     •           Proficiency in programming languages like Python/C++.

     •           Strong experience with Monocular SLAM and sensor fusion algorithms.

     •           Deep understanding of computer vision principles, data structures, and algorithms.

Preferred Skills

     •           Familiarity with version control systems like Git.

     •           Knowledge of advanced techniques like NeRFs or Gaussian Splatting.

What We Offer

     •           Remote Work: Flexible work hours from the comfort of your home.

     •           Practical Experience: Work on real-world problems and cutting-edge technologies.

     •           Mentorship: Collaborate with experienced professionals in the field.

     •           Career Growth: Build a strong portfolio with impactful projects.

How to Apply

If you’re passionate about Computer Vision, Deep Learning, or Robotics and meet the above qualifications, we’d love to hear from you! Please send your resume and a brief cover letter explaining your interest in the role to hr@fyndme.net.

Note: This is an unpaid internship with a time commitment of 20 hours per week.

Join us in revolutionizing the way users connect and share their stories with the world!