Aayush Prakash
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
3D World Models, EM @ Meta | Nvidia | AI Reverie | 1x exit
AI research leader (12+ years) driving breakthroughs in 3D/4D generative AI, Gaussian Splatting, world models, and synthetic data. I lead 3D Generative AI research at Meta Reality Labs, shaping multi-year strategy across neural rendering, XR, digital humans, and sim2real. Former Head of ML at AI Reverie, where I built the technical vision that led to the company’s acquisition by Meta. Recognized by Fortune, MIT, Bloomberg, and BusinessWire as a pioneer in simulation-driven AI. Known for seminal work in synthetic data- Domain Randomization, Structured Domain Randomization, and Meta-Sim (2,000+ citations; adopted by OpenAI, NVIDIA, Toyota, Amazon). I build high-performing research teams and deliver 0 → 1 product impact across XR, and large-scale scene understanding.
University of Waterloo
MASc., Computer Engineering
January 1, 2010 – January 1, 2012
Indian Institute of Technology, Kharagpur
B. Tech. (Hons.), Electronics & Electrical Communication Engineering
January 1, 2006 – January 1, 2010
Meta
Research Scientist Manager
September 1, 2021 – Present
San Francisco Bay Area
AI.Reverie
Head of Machine Learning - acquired by Meta
April 1, 2021 – August 1, 2021
NVIDIA
Senior Research Scientist
September 1, 2015 – April 1, 2021
Greater Toronto Area, Canada
IBM Canada
Staff Software Developer
February 1, 2013 – September 1, 2015
Markham
Graz University of Technology
Visiting Research Fellow
May 1, 2009 – July 1, 2009
Graz, Austria
Cultural Fit Analysis
The candidate's background at Meta and NVIDIA, coupled with their involvement in cutting-edge research and publications, suggests a strong fit for an innovative, research-driven culture. Their experience in leading diverse teams and organizing workshops indicates a collaborative and knowledge-sharing mindset. The breadth of their work across machine learning, computer vision, and computer graphics demonstrates adaptability and a continuous learning orientation.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, research, and organizational skills through their roles as Research Scientist Manager and Head of Machine Learning. Their experience in organizing workshops and leading teams indicates excellent collaboration and communication abilities. The acquisition of AI.Reverie by Meta under their co-leadership highlights strategic thinking and business acumen.