Fundamental AI Research Scientist, Physical World Models, FAIR Seattle, WA +1 locations • AI Re[...]

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

Job summary

An innovative firm is seeking a Research Scientist to join its renowned AI research team. This role focuses on building world models and developing algorithms for embodied and wearable agents. You will engage in cutting-edge research, collaborating with experts to push the boundaries of AI. The position offers a unique opportunity to contribute to significant advancements in understanding physical world models through video and other modalities. Join a team that values creativity and rigorous research, and be part of the next AI paradigm shift while enjoying a competitive compensation package and comprehensive benefits.

Benefits

Bonus

Equity

Comprehensive benefits

Qualifications

• Strong background in machine learning and AI with a focus on research.
• Experience in coding and executing complex experiments.

Responsibilities

• Lead and execute research to advance AI technologies.
• Collaborate with cross-functional teams and produce publications.

Skills

Machine Learning

Artificial Intelligence

Computational Statistics

Applied Mathematics

Python

PyTorch

Education

Bachelor's degree in Computer Science or related field

PhD in AI, Computer Science, or related technical 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.

Responsibilities

1. Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence.
2. Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities).
3. Working towards long-term research goals while identifying immediate milestones.
4. Influencing progress of relevant research communities by producing publications.
5. Collaborating with scientists and engineers in a large cross-functional team.
6. Open source high-quality code and produce reproducible research.

Minimum Qualifications

1. 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.
2. PhD degree in AI, computer science, data science, or related technical fields.
3. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, CVPR, ICCV, CoRL, or similar.
4. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
5. Experience coding software and executing complex experiments.
6. Experience with Python and PyTorch.

Preferred Qualifications

1. 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).
2. Experience collaborating in a team environment on research projects.
3. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
4. Experience building systems based on machine learning and/or deep learning methods.
5. Experience working and communicating cross-functionally in a team environment.
6. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

Compensation: $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.

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.

Apply for this job and take the first step toward a rewarding career at Meta.