$3M Pre-Seedlaunch video

Research Engineer, Language - Content and User Understanding Team

New York +1$7k – $217k

About this role

Meta is seeking a Research Engineer to join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we're dedicated use LLM-powered world knowledge to deliver exceptional 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


$74.04/hour to $217,000/year + bonus + equity + benefits

Company at a glance

Meta focuses on shaping the future of human connection by developing technologies that help people connect, form communities, and grow businesses, including moving beyond 2D screens toward immersive AR/VR experiences.

IndustrySoftware Development
Team Size10000+
Locations
New York, United States ·Menlo Park, California, United States

Culture & values

The organization emphasizes creating a safe and respectful online space by encouraging constructive conversations.
There is an emphasis on starting with an open mind and engaging with empathy when discussing ideas.
Comments violating Community Standards will be removed or hidden, and people are expected to treat everybody with respect.
Interactions should be kept constructive to learn about and grow understanding of others.
Moderators uphold guidelines to benefit everyone, every day.
The culture promotes a growth mindset by learning from interactions and expanding understanding.

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