Machine Learning Engineering Intern- Visual Gen AI

3 weeks ago

Santa Clara, United States Pyxer Inc. Full time

We are pyxer, a visual gen AI startup in the apparel B2C space, on a mission to revolutionize clothes shopping. We are building an AI personal shopper that helps people find their perfect looks in both the digital and real world, by styling and shopping through their personal photos.

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.

We currently have two open positions available for this role.

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.

This 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.
  • Opportunity to contribute to research projects, depending on experience
  • 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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