Research Scientist, Machine Learning for Monetization (PhD)
Job details
- Education
- Bachelor's degree
- Posted
- Sep 23, 2026
- Last confirmed open
- Oct 28, 2026
What you'll need to apply
What this employer's standard application typically asks
About this role
Skip to main content
Jobs
Teams
Career Programs
Working at Meta
Blog
Podcasts
Jobs
Research Scientist,
Machine Learning for Monetization (PhD)
Research Scientist,
Machine Learning for Monetization (PhD)
Sunnyvale, CA +3 locations
Artificial Intelligence
+ 1 more
Apply now
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 connect users with businesses You’ll help develop solutions that power large-scale platforms and AI innovations to power the Ads-ranking for Meta-scale across all the Meta surfaces.
Research Scientist,
Machine Learning for Monetization (PhD) 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 research that results in tech demos and/or publications
- Collaborate closely with cross-functional partners and contribute towards Meta's research 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 Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Experience in Deep Learning algorithms and techniques, e.g., convolutional neural networks (CNN), transformers, quantization, data efficient learning, or similar
Preferred Qualifications
- 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
- Experience on Data Efficient Learning, domain adaptation, Semi-supervised Learning, etc
- Experience working and communicating cross-functionally in a team environment
- Exposure to architectural patterns of large scale software applications
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward
- 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 manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $122,000/year to $181,000/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 .
Apply for this job
Take the first step toward a rewarding career at Meta. Apply now
APPLY NOW
Find your role
Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.
View jobs
Meta AI
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process. Learn more
about AI usage and settings.
Sign up
to ask follow-up questions
Job Search
Technology Teams
Artificial Intelligence Creative Infrastructure Metaverse and Wearables Product and Program Management Research and Data Security Software Engineering
Business Teams
Business Operations Partnerships Sales and Marketing
Career Programs
Research Accelerate Eng Talent Students and Grads Rotational Programs
Working at Meta
Accessiblity and Engagement Benefits Culture Hiring Process
My account
Career profile Account settings Messages
Meta Careers Blog
Meta Tech Podcasts
About us
About Meta
Media gallery Brand resources For investors Looking for contractor roles?
Job Search
Technology Teams
Artificial Intelligence
Creative
Infrastructure
Metaverse and Wearables
Product and Program Management
Research and Data
Security
Software Engineering
Business Teams
Business Operations
Partnerships
Sales and Marketing
Career Programs
Research
Accelerate Eng Talent
Students and Grads
Rotational Programs
Working at Meta
Accessiblity and Engagement
Benefits
Culture
Hiring Process
My account
Career profile
Account settings
Messages
Meta Careers Blog
Meta Tech Podcasts
About us
About Meta
Media gallery
Brand resources
For investors
Looking for contractor roles?
Community Standards Data Policy Terms Cookie Policy
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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a dis