Research Scientist, Machine Learning for Monetization (PhD)
- Location
- Sunnyvale, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Doctorate
- Listed
- 28 days ago
Skills & highlights for this role
- Deep learning
- convolutional neural networks
- transformers
Also useful
- NeurIPS/ICML/ICLR publications
- data efficient learning
- domain adaptation
About the role
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- Research Scientist, Machine Learning for Monetization (PhD)
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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
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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.
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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.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Research Scientist, Machine Learning for Monetization (PhD) job at Meta located?
This Research Scientist, Machine Learning for Monetization (PhD) position at Meta is located in Sunnyvale, CA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Scientist, Machine Learning for Monetization (PhD) at Meta?
For the Research Scientist, Machine Learning for Monetization (PhD) role, Meta highlights a doctorate; experience with Deep learning, convolutional neural networks, transformers. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Scientist, Machine Learning for Monetization (PhD) position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.