Skip to main content
Desktop Nav Logo

Research Engineer - FAIR Core Learning

Apply to Job
Research Engineer - FAIR Core Learning
Apply to Job
Location pin icon
Apply to Job
Meta is seeking a Research Engineer to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, generative models, reinforcement learning, computer perception, natural language processing. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.
Research Engineer - FAIR Core Learning Responsibilities
  • Develop highly scalable algorithms based on machine learning and neural network methodologies.
  • Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and reinforcement learning.
  • Apply knowledge of relevant research domains and coding skills to platform and framework development projects.
  • Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • One or more years experience in reinforcement learning and/or generative modeling.
  • 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.
  • Experience developing machine learning algorithms or machine learning infrastructure in Python and PyTorch.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Industry research experience in reinforcement learning and/or generative modeling.
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
  • Experience working and communicating cross functionally in a team environment.
  • Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.
  • Software engineer experience demonstrated via an internship, work experience, coding competitions.
Locations
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 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 support, please reach out to accommodations-ext@fb.com.
$117,000/year to $173,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Related Job Openings
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, 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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, you may contact us at accommodations-ext@fb.com.
© Meta 2024