Research Scientist, Machine Learning for Monetization (PhD)

Meta; Menlo Park (CA); On-site; USD 122,000 - 181,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Research Scientist in Machine Learning for Monetization to advance scalable ML models that power ads ranking and monetization strategies across Meta surfaces.

The role emphasizes developing classifiers, adapting DL methods to parallel environments, and collaborating across teams to drive research-driven product development while pursuing impactful publications.

Qualifications

• Bachelor's degree in CS/EE or related field, completed before joining Meta.
• PhD in Machine Learning/AI or related field, completed before joining Meta.
• Experience with deep learning methods including CNNs and transformers.

Responsibilities

• Develop scalable classifiers and ML tools for monetization research.
• Gather requirements to shape an effective feature roadmap.
• Adapt ML methods to parallel computing environments (GPU, clusters).
• Lead research with demos and publications when possible.
• Collaborate with cross-functional teams on research products.

Skills

Deep Learning

CNN

Transformers

Data Efficient Learning

Cross-functional Communication

Research Experience

Education

Bachelor's degree or equivalent

PhD in ML/AI

Tools

GitHub

TensorFlow

PyTorch

Job description

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.

Meta is proud to be an Equal Employment Opportunity and Affliative 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 [e-mail].

$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.