Jobs at Meta

AI Research Scientist - MRS AI

at Meta • Full-time

Location

in-office (New York, United States / Menlo Park, United States)

Experience

1+ years

Compensation

$117k-$173k

About this Opportunity

The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver user experiences across Facebook, Instagram, Threads, and more.

AI Research Scientist - MRS AI Responsibilities

  • Collaborate, and execute on research that pushes forward the state of the art in large language model research

  • Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results

  • Contribute to publications and open-sourcing efforts

  • Help identify long-term research goals as well as intermediate milestones

  • Prioritize research that can be applied to Meta's product development

Minimum Qualifications

  • 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

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field

  • 1+ year(s) of industry work experience with an emphasis on AI Research in natural language understanding, machine learning, deep learning, or related fields

  • Experience with language model training (ie. LLMs) or related ML/AI model training

  • Experience working with machine learning libraries like Pytorch, Tensorflow, etc

  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience focused in multimodal models, reinforcement learning, and/or reasoning

  • Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, NeurIPS, ICML, ICLR, or similar

  • Experience taking ideas from research to production

  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

  • Experience working and communicating cross functionally in a team environment

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.

$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.

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.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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