Research Engineer - Language

Overview of the Research Engineer - Language Role at Meta

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

Research Engineer - Language Responsibilities

• Lead, collaborate, and execute on research that advances the state of the art in multimodal reasoning and generation.
• Work towards long-term research goals, while identifying and achieving intermediate milestones.
• Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results.
• Contribute to academic publications and open-sourcing efforts.
• Mentor other team members, fostering a collaborative and growth-oriented environment.
• Play a significant role in healthy cross-functional collaboration across various Meta teams.
• Prioritize research that can be effectively applied to Meta's product development and user experiences.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• Currently holds, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. (Degree must be completed prior to joining Meta).
• Currently holds, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
• Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
• Direct experience in generative AI and Large Language Model (LLM) research.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Experience solving complex problems, evaluating alternative solutions, understanding tradeoffs, and determining the optimal path forward.
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow, and strong programming skills in Python.
• Proven track record of achieving significant results demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), or Computer Vision (CVPR, ICCV, ECCV).
• Demonstrated research and software engineering experience through an internship, professional work, coding competitions, or widely used contributions to open-source repositories (e.g., GitHub).
• Experience working and communicating effectively in a cross-functional team environment.
• Experience with manipulating and analyzing complex, large-scale, high-dimensionality data from various sources.

About Meta

Meta builds technologies that empower people to connect, find communities, and grow businesses. Since Facebook's launch in 2004, it transformed global connection. Apps like Messenger, Instagram, and WhatsApp have further connected billions. Now, Meta is exploring augmented and virtual reality to build the next evolution of social technology. Individuals who contribute to building with Meta help shape a future beyond today's digital connections – transcending screens, distance, and even physics.

Key skills/competency

• Multimodal Reasoning
• Generative AI
• Large Language Models (LLMs)
• Recommendation Systems
• Deep Learning Frameworks (PyTorch, TensorFlow)
• Natural Language Processing (NLP)
• Computer Vision
• Research & Experimentation
• Data Analysis
• Cross-functional Collaboration