Research Engineer (Robotics) - World Modelling, FAIR - Meta : Job Details
Research Engineer (Robotics) - World Modelling, FAIR
MetaJob Location : New York,NY, USA
Summary:
Meta is seeking a Research Engineer 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 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 drive innovations across the stack, data curation, training large-scale state-of-the-art models, and designing robust benchmarks. We are looking for research engineers who share our passion for building efficient, scalable, and robust models of the world that will be part of the next paradigm of AI models.
Required Skills:
Research Engineer (Robotics) - World Modelling, FAIR Responsibilities:
Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence
Contributing to experimental design, implementation, evaluation, and reporting results
Working with and creating large datasets and evaluation benchmarks
Collaborating with scientists and engineers in a large cross-functional team
Building optimized software tooling and infrastructure to accelerate research outcomes
Influence progress of relevant research communities by producing publications
Open source high quality code and produce reproducible research
Mentor other engineers & researchers, and improve the quality of engineering work in the broader team
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Master's degree in Computer Science, Computer Engineering, a relevant technical field, and 7+ years of equivalent domain-specific industry experience
4+ Years research experience in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
Experience coding software and executing complex experiments
Experience with Python and PyTorch
Research experience in one or more of these areas: computer vision, multimodal perception, robotics, self-supervised representation learning, reinforcement learning and control
Preferred Qualifications:
Preferred Qualifications:
PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Author-Contributed Research Publications in AI conferences like ICML, ICLR, NeurIPS, CVPR, ICCV, CoRL, or similar
Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (for example, GitHub).
Experience with C++, CUDA and model optimization
Experience developing efficient, scalable distributed systems and/or training pipelines
Public Compensation:
$85.10/hour to $251,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].