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Job description
Job Title: Machine Learning engineer (Generative Video & Avatar AI)
Position Type: Full time
Salary - $180k - $200k base + Bonus + Stock Option
About the role
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.
Qualifications
Hands-on experience with PyTorch and modern deep learning frameworks
Background in diffusion models, video generation, or multimodal AI (audio + vision)
Familiarity with Diffusion Transformers (DiT), 3DGS, or similar generative architectures
Experience with talking head synthesis, lip sync, or digital human pipelines
Strong fundamentals in computer vision and signal processing
Ability to read and implement ideas from recent research papers
Nice to Have
Publications or open-source contributions in generative video or avatar research
Prior experience at companies working on avatar/digital human technology
Experience with multilingual avatar or speech synthesis
Familiarity with real-time inference optimization (TensorRT, CUDA, etc.)
Experience with live event or interactive avatar applications
About Us:
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
Compensation:
The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more.
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Worksite address
palo alto, CA, 94306, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.