Machine Learning Engineering Intern- Visual Gen AI

About the job

We are pyxer, a visual gen AI startup in the photography and apparel B2C space, on a mission to revolutionize clothes shopping.We are building an AI professional photographer and stylist that helps people discover and shop their perfect looks. Visualize yourself in various outfits, accessories, hairstyles, backgrounds, poses, and more using our AI photography tools. Our ultimate goal is to create a full professional fashion photoshoot experience with AI, allowing you to generate stunning new images of yourself in a wide range of looks and shop your favorites styles across brands.We are seeking an exceptional machine learning engineering intern who is creative, driven, and can get things done. You will have the unique opportunity to have your fingerprints on the next transformational consumer tech company, creating products that have the potential to be used by every person on the planet.Our product is already being actively used in 55 countries. You will get to watch your work come to life quickly as it will be frequently deployed into production. You will gain a deep sense of achievement, while acquiring critical insights and skills in generative AI for photos and videos.In your application,

please write a short cover letter on why you believe in our idea and mission . We consider each intern as a pyxer brand ambassador, so they must strongly believe in the idea and mission. You can either attach the cover letter to your resume on LinkedIn or email it to: opportunities@pyxer.aiThis role is ideal for you if:You are passionate about our mission and are looking for a long-term employment opportunity beyond the internship (e.g. part-time role, full-time founding engineer).You prefer collaborating in-person with a team, rather than remotely. This internship will take place entirely in-person at our office in the Santa Clara, CA area.Key Responsibilities:Train and fine-tune visual gen AI models to be deployed in real world, production settings.Work with large-scale datasets and apply data preprocessing and augmentation methods.Evaluate model performance through quantitative metrics and qualitative assessment.Refine and optimize our pipelines to increase efficiency.Collaborate with cross-functional teams to integrate AI solutions into broader systems.Write clean, well-documented, and maintainable code adhering to best practices.Qualifications:Strong understanding of the fundamentals of deep learning.Excellent Python programming and debugging skills, with a strong grasp of its essential data structures and algorithms.Understanding of shell scripting and working with Ubuntu or other Linux distributions.Proficiency in PyTorch.Preferred Skills:Prior experience or projects related to image processing, video processing, or computer vision.Duration:3 months, starting from June.Compensation:$5000 per month
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