AI Research Scientist - Language - MRS AI

Menlo Park, CA

Full-time

Job Description

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 exceptional user experiences across Facebook, Instagram, Threads, and more.

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, writing reusable code, running evaluations, and organizing results

Contribute to publications and open-sourcing efforts

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

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

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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

Currently has, 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 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 and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Experience with deep learning frameworks (such as pytorch, tensorflow) and Python

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)

Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience working and communicating cross functionally in a team environment

Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$147,000/year to $208,000/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. Learn more about benefits at Meta.

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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