Fundamental AI Research Scientist, Physical World Models, FAIR

Meta; Seattle (WA); On-site; USD 117,000 - 173,000; Full time

Job summary

Join a pioneering team at a leading tech company focused on building world models and understanding the physical world through innovative AI research. As a Research Scientist, you will lead groundbreaking efforts in self-supervised learning, predictive modeling, and reinforcement learning. This role offers the opportunity to influence the future of AI while collaborating with top experts in the field. If you are passionate about advancing technology and making a significant impact, this is the perfect opportunity for you.

Benefits

Equity

Health benefits

Flexible work hours

Professional development opportunities

Qualifications

• Research background in machine learning and AI.
• Experience coding software and executing complex experiments.

Responsibilities

• Leading research that advances artificial intelligence.
• Collaborating with scientists and engineers on projects.

Skills

Machine Learning

Artificial Intelligence

Python

PyTorch

Data Analysis

Education

Bachelor's degree in Computer Science

PhD in AI or related fields

Tools

High-dimensional data analysis

Job description

Fundamental AI Research Scientist, Physical World Models, FAIR

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. Come join FAIR's efforts to build world models, learning to understand and make predictions about the physical world, especially from video, and develop efficient algorithms for world model-based planning and control.Our team is driving an ambitious agenda to train and use world models for embodied and wearable agents. We innovate across related topics including self-supervised learning from video (e.g., joint-embedding predictive architectures/JEPAs), predictive models, model-based reinforcement learning and model-predictive control. We accomplish this by advancing research across the stack, including data curation, training large-scale state-of-the-art models, and designing robust benchmarks. We are looking for Research Scientists who share our passion for building efficient, scalable, and robust models of the world that will be part of the next paradigm in AI models.

Fundamental AI Research Scientist, Physical World Models, FAIR Responsibilities

Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence

Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities).

Working towards long-term research goals, while identifying immediate milestones.

Influencing progress of relevant research communities by producing publications.

Collaborating with scientists and engineers in a large cross-functional team

Open source high quality code and produce reproducible research

Minimum Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

PhD degree in AI, computer science, data science, or related technical fields

First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, CVPR, ICCV, CoRL, or similar

Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.

Experience coding software and executing complex experiments

Experience with Python and PyTorch

Preferred Qualifications

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), and Computer Vision (CVPR, ICCV, ECCV).

Experience collaborating in a team environment on research projects

Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

Experience building systems based on machine learning and/or deep learning methods.

Experience working and communicating cross functionally in a team environment.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$117,000/year to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .