Meta is seeking an early-career research scientist to join our Llama Research team at GenAI, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be knowledgeable in research areas such as Large Language Models, Reinforcement Learning, generative models, open-ended learning. Research scientists are also expected to have a track record in helping produce new science that advances our understanding of intelligence. The ideal candidate for this position will have particular experience in finetuning language models and knowledge of offline and online reinforcement learning methods.
- Contribute to ambitious research to advance the science of intelligence in the brain and in machines
- Drive state-of-the-art research with the team of researchers and engineers
- Collaborate effectively within their team to help advance its research goals
- Influence progress of relevant research communities by contributing to publications
- Contribute research that can be applied to Meta product development
Minimum Qualifications
- Currently has or is in the process of obtaining a PhD in the field of DEGREE AREA, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Expertise in deep learning, language modelling, reinforcement learning
- Public speaking, internal communication of complex research
- Familiarity with one or more deep learning frameworks (e.g. PyTorch or Jax)
- Programming skills (Python, pytorch)
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
- Experience in open-source development
- Experience in reinforcement learning
- Experience in Large Language Modeling
- Experience in Building Agents
- 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.
- Established track record of contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, EMNLP, ICLR, CVPR, ICCV, ACL, Interspeech and ICASSP) and/or Machine Learning journals
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.
Equal Employment Opportunity
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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