Peyman Heidari
Data AnalystAI 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
Senior Research Manager, AI at Meta · Multimodal AI for the Physical World · Video & Any-Modality LLMs
The next generation of AI won't live on a screen — it'll run continuously, reasoning over live video in real time. That's the problem I work on. I manage a research team at Meta building multimodal foundation models, and I stay active as a researcher and core contributor. My focus: any-modality language models that reason over text, image, video, audio, and sensor signals; real-time video understanding under tight inference constraints; and how vision-language models develop spatial and 3D reasoning. More recently: post-training — using RL to close the gap between what a multimodal model knows and what it actually does in deployment
Penn State University
Doctor of Philosophy (PhD), Engineering
January 1, 2011 – January 1, 2014
Meta
Senior Research Manager, AI
August 1, 2019 – Present
Menlo Park, CA
Accenture
Data Science Manager | Deep Learning Lead
June 1, 2017 – July 1, 2019
Houston, Texas Area
Missouri S&T
Assistant Professor
January 1, 2015 – June 1, 2017
Greater St. Louis Area
Cultural Fit Analysis
The candidate has a strong background in research and management within large corporate and academic environments. The transition from research/management to a Data Analyst role might indicate a desire for a more hands-on, analytical focus. The breadth of experience across different organizations suggests adaptability. However, the target role of 'Data Analyst' is a significant shift from 'Senior Research Manager, AI', which could indicate a potential mismatch in expectations regarding day-to-day responsibilities and career trajectory. Further clarification on the candidate's motivation for this specific role is needed to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's experience as a Senior Research Manager and Data Science Manager suggests strong leadership, project management, and team collaboration skills. The academic background as an Assistant Professor further supports strong communication and problem-solving abilities. However, specific operational fit for a pure Data Analyst role, which often involves more hands-on data manipulation and reporting rather than research management, needs further validation.