Presentation
SDE2 AI/ML Engineer
SessionJob Postings
DescriptionJoin the frontier of sports video technology at VideoVerse, where we harness the power of AI to redefine the viewing experience. As a Machine Learning Engineering Intern, you'll dive into the heart of AI/ML technologies that interact with exclusive sports video content. If you’re excited about AI and sports, you’re in the right place! ⚾🤖🎥
What You’ll Do:
Develop and enhance ML models for video analysis, using advanced Large Language Models (LLMs) and Video Language Models (VLMs) to improve the interactivity and intelligence of sports video content.
Work on optimizing existing algorithms and architectures to boost efficiency and effectiveness.
Conduct rigorous evaluations of AI models to ensure they meet our high production standards. 🎯
What You’ll Need:
Proficiency in Python, with hands-on experience in PyTorch and TensorFlow.
A solid understanding of machine learning principles and a knack for problem-solving in complex systems.
Eagerness to work in a dynamic, fast-paced environment where your work rapidly transitions into real-world applications. 🚀
What You’ll Gain:
In-depth experience with AI/ML applications in processing and enhancing sports video content.
A chance to work with exclusive sports video data from some of the biggest names in the industry.
Who You Are:
A quick learner who’s deeply passionate about AI and eager to apply it to real-world problems.
A robust problem-solver with meticulous attention to detail.
Enthusiastic about both technology and sports, excited to merge these interests in innovative ways. 🏅
What You’ll Do:
Develop and enhance ML models for video analysis, using advanced Large Language Models (LLMs) and Video Language Models (VLMs) to improve the interactivity and intelligence of sports video content.
Work on optimizing existing algorithms and architectures to boost efficiency and effectiveness.
Conduct rigorous evaluations of AI models to ensure they meet our high production standards. 🎯
What You’ll Need:
Proficiency in Python, with hands-on experience in PyTorch and TensorFlow.
A solid understanding of machine learning principles and a knack for problem-solving in complex systems.
Eagerness to work in a dynamic, fast-paced environment where your work rapidly transitions into real-world applications. 🚀
What You’ll Gain:
In-depth experience with AI/ML applications in processing and enhancing sports video content.
A chance to work with exclusive sports video data from some of the biggest names in the industry.
Who You Are:
A quick learner who’s deeply passionate about AI and eager to apply it to real-world problems.
A robust problem-solver with meticulous attention to detail.
Enthusiastic about both technology and sports, excited to merge these interests in innovative ways. 🏅
Event Type
Job Posting
TimeSaturday, 27 July 20248:26am - 8:28am MDT
Location
Session TimeSaturday, 27 July 20248:00am - 9:00am MDT
Location
