Drimva

Meta

Research Scientist - Meta Recommendation Systems (PhD)

$122K–$181K

Menlo Park, CA · Full-time · Posted Oct 16, 2026

Education
Currently has, 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 before joining. Currently has, or is pursuing, a PhD in Computer Science, Artificial Intelligence, or related technical fields.
Visa sponsorship
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

About the job

Develops and deploys machine-learning models and recommendation systems, applying research to improve product experiences across platforms.

What you'll do

  • Design and implement AI/ML solutions to improve recommendation models.
  • Apply new research and collaborate with teams to integrate AI/ML into products.
  • Publish research and build products, including intelligent speech and language systems.

What they ask for

  • Currently has or is pursuing a PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience developing software and running complex experiments with large ML/AI models and datasets; direct AI/ML/NLP research experience.
  • Familiarity with one or more deep-learning frameworks, such as PyTorch or TensorFlow.
  • Must obtain and maintain work authorization in the country of employment.

Nice to have

  • Industry experience in Recommendations, Ranking, and LLM-related topics; experience taking ML products from research to production.
  • High-impact publications at leading ML/AI conferences or journals, such as ICML, ICLR, KDD, or NeurIPS.

Pay

$122,000/year to $181,000/year (base salary)

Tools

PyTorch, TensorFlow

AI focus

Researches and develops AI/ML recommendation models, including work on ranking, LLM-related topics, and speech and language systems; translates research into products.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)