Research Engineer (Robotics) - World Modelling, FAIR

Meta; Seattle (WA); On-site; USD 8,000 - 251,000; Full time

Job summary

Join a pioneering team in AI research as a Research Engineer focusing on robotics and world modeling. This role offers the opportunity to work on cutting-edge technologies that push the boundaries of artificial intelligence. You will contribute to groundbreaking projects, collaborating with experts across disciplines to develop efficient algorithms and robust models. As part of a forward-thinking organization, you will be at the forefront of innovation, shaping the future of technology and enhancing the capabilities of AI systems. If you are passionate about making a significant impact in the field of AI, this is the perfect opportunity for you.

Qualifications

• 4+ years of research experience in AI and machine learning.
• Experience coding software and executing complex experiments.

Responsibilities

• Lead research to advance AI technology and methodologies.
• Collaborate with cross-functional teams to enhance research outcomes.

Skills

Machine Learning

Artificial Intelligence

Python

PyTorch

Computer Vision

Robotics

Reinforcement Learning

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

Tools

C++

CUDA

Job description

Join to apply for the Research Engineer (Robotics) - World Modelling, FAIR role at Meta

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Join to apply for the Research Engineer (Robotics) - World Modelling, FAIR role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$85.10/yr - $251,000.00/yr

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.

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:

• 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:

• 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
  
  

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.

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 [e-mail].

$85.10/hour to $251,000/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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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