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IntelliPro is seeking a Machine Learning Engineer to build the AI systems powering holographic and avatar experiences. You will design end-to-end models that translate audio into expressive, real-time facial animation and full video, optimized for sub-200ms latency at enterprise scale.
You will work with PyTorch and state-of-the-art diffusion-based architectures to deliver multilingual avatar quality and robust lip-sync capabilities, contributing to flagship Physical AI products and scalable
Job Title: Machine Learning engineer (Generative Video & Avatar AI)
Position Type: Full time
Salary - $180k - $200k base + Bonus + Stock Option
You will build the AI systems that power holographic and avatar experiences — models that transform audio into expressive, real-time facial animation and full video. This is the engine behind flagship Physical AI products, which demand natural lip sync, multilingual avatar quality, and sub-200ms response times at enterprise scale.
Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions.
IntelliPro, a global leader in connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more.