Research Engineer, Monetization AI

**Summary:**

We are the Monetization Ranking and Foundational AI organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML/RecSys advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking AI/ML/RecSys specialists to join our team and drive SOTA research and production across the Monetization organization.

**Required Skills:**

Research Engineer, Monetization AI Responsibilities:

1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques

2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability

3. Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning

4. Design and implement generative modeling solutions for data augmentation

5. Develop and deploy machine learning pipelines

6. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains

7. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

**Minimum Qualifications:**

Minimum Qualifications:

8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

9. Research experience in machine learning, deep learning, natural language processing, and/or recommender systems

10. Experience with developing machine learning models at scale from inception to business impact

11. Programming experience in Python and hands-on experience with frameworks such as PyTorch

12. Exposure to architectural patterns of large scale software applications

**Preferred Qualifications:**

Preferred Qualifications:

13. PhD in AI, Computer Science, Data Science, or related technical fields

14. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

15. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI)

16. Direct experience in generative AI, LLMs, RecSys, ML research

**Public Compensation:**

$88.46/hour to $257,000/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-ext@meta.com.