AI Research Scientist, MRS AI (PhD)

AI Research Scientist, MRS AI (PhD)

The AI Research Scientist role conducts cutting-edge research and develops advanced machine learning modelsparticularly in large language models, and recommendation systemsto drive innovation in content and user understanding, retrieval, and ranking. These deliverables directly enhance Meta's products by powering more accurate, efficient, and personalized recommendations across Facebook, Instagram, Threads, and other platforms. By pushing the boundaries of AI, the role supports Meta's business growth, improves user experiences, and enables scalable solutions that benefit Meta's customers and people.

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, 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

Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields

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

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.

$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. Learn more about benefits at Meta.

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