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Research Engineer, Language - Content and User Understanding Team

Research Engineer, Language - Content and User Understanding Team

MediabistroMenlo Park, CA, United States
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Research Engineer, Language - Content and User Understanding Team

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 content and user understanding team, with a focus on Large Language Models (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we are dedicated to using LLM-powered world knowledge to deliver user experiences across Facebook, Instagram, Threads, and more. We are looking for engineers with a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and / or multimodal modeling is desired.

Responsibilities

  • Build Multi-Modal LLM backbones
  • Prepare human-labeled or auto-generated data for pre-training and fine-tuning
  • Fine-tune / RLHF for downstream content understanding and user understanding tasks
  • Model evaluation with human labeling or auto judge

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Research experience in machine learning, deep learning, and / or natural language processing
  • Experience with developing machine learning models at scale from inception to business impact
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Understanding of architectural patterns of large-scale software applications
  • Preferred Qualifications

  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
  • Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, or related technical fields
  • Direct experience in generative AI and LLM research
  • 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. 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. 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

    Employment details

  • Seniority level : Not Applicable
  • Employment type : Full-time
  • Job function : Engineering and Information Technology
  • Industries : Technology, Information and Internet
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