Company Overview:
Streaming companies annually spend over $26 billion dollars making original content. And their subscribers pay large sums to stream this original and licensed content. These streaming companies are now looking for new, innovative, and incremental revenue streams versus simply raising subscriber costs. This is where we come in.

We have a very unique approach to helping streaming companies develop the perfect combination of a seamless journey of watching your favorite sitcom, cooking show, live sporting event, home improvement, etc with the additional benefit of actually buying using Machine Learning and Computer Vision technologies.

We're a team of entrepreneurs that have done multiple company exits from Klarna, eBay, Amazon, Warner Bros, Google.

Position Overview:
We are seeking a highly motivated and self-driven Junior Applied Scientist with a Master's degree and specialized experience in Computer Vision and LLM’s. The ideal candidate thrives in an ambiguous environment and is passionate about developing and implementing state-of-the-art algorithms and solutions that drive our technology forward.

Responsibilities:
• Design, develop, and optimize Computer Vision algorithms for object detection, image segmentation, and data enrichment.
• Implement and experiment with Language Model Learning techniques to enhance the capabilities of our systems.
• Stay updated with the latest advancements in Computer Vision, LLM, and related fields to incorporate innovative solutions.
• Analyze large-scale datasets to extract meaningful insights and patterns.
• Build and evaluate machine learning models tailored for Computer Vision and NLP tasks.
• Develop and maintain software applications and tools to support research and product development.
• Ensure code quality, performance, and scalability of implemented solutions.

Qualifications:
• Master's degree or higher in Computer Science, Machine Learning, Computer Vision, or a related field.
• Strong background in Computer Vision with hands-on experience in developing algorithms for image/video processing, object detection, and/or image segmentation.
• Proficiency in Machine Learning, especially in applying LLM techniques for Natural Language Processing (NLP) tasks.
• Solid programming skills in languages such as Python, C++, or Java.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or similar.
• Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Passion for the e-commerce domain and commerce-related challenges and opportunities.