AI Research Scientist, VLLM; Vision Language Models - Generative AI
Job in
Bellevue, King County, Washington, 98009, USA
Listing for:
Meta
Full Time
position
Listed on 2026-07-20
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Business & Operations, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 154000 - 217000 USD Yearly
USD
154000.00
217000.00
YEAR
Job Description & How to Apply Below
Position: AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI
Summary
From making valuable connections between people and businesses to building premium services that deliver high-value experiences, the Monetization organization at Meta empowers people and businesses to succeed in the global economy. As Meta focuses on building the next evolution of social experiences, the Monetization team plays a crucial role in shaping the communication pathways and financial tools that all sized businesses need to thrive in the new digital economic environment.
As a Machine Learning Research Scientist on the Monetization team at Meta, you can help build ML/AI technologies that can effectively connect users with businesses. You’ll help develop solutions that power next-generation, large-scale platforms and AI innovations to power the Ads-ranking for Meta-scale across all the Meta surfaces.
AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities
Develop highly scalable classifiers and tools leveraging Machine Learning, data regression, and rules-based models.Suggest, collect, and synthesize requirements to create an effective feature roadmap.Adapt standard Machine Learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).Lead and contribute to cutting‑edge research that results in industry‑leading tech demos and/or publications.Collaborate closely with cross-functional partners and contribute to Meta's research 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 PhD degree in Machine Learning, Artificial Intelligence, Computer Science, or a relevant technical field, or equivalent practical experience. Degree must be completed before joining Meta.Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, a relevant technical field, or equivalent practical experience. Degree must be completed before joining Meta.Experience in Deep Learning algorithms and techniques, e.g., convolutional neural networks (CNN), transformers, quantization, data‑efficient learning, or similar.Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.Preferred Qualifications
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Git Hub).Experience in data efficient learning, domain adaptation, semi‑supervised learning, etc.Experience working and communicating cross‑functionally in a team environment.Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first‑authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, or similar.Exposure to architectural patterns of large‑scale software applications.Experience in manipulating and analyzing complex, high‑volume, high‑dimensionality data from various sources.Experience solving complex problems and comparing alternative solutions, trade‑offs, and varied points of view to determine a path forward.Public Compensation
$154,000/year to $217,000/year + bonus + equity + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑
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