Sign upLog in

Research Engineer, Monetization AI

Meta

Bellevue, WA

Apply
JOB DETAILS
SKILLS
Artificial Intelligence (AI), Computer Engineering, Computer Science, Computer Vision, Conferences, Create Graphs, Cross-Functional, Data Modeling, Deep Learning, Emerging Technology, Establish Priorities, Government, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Performance Management, Performance Modeling, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Publications, Python Programming/Scripting Language, Reinforcement Learning, Research & Development (R&D), Research Skills, Risk Analysis, Search Ranking, Software Design, Technical/Engineering Design
LOCATION
Bellevue, WA
POSTED
27 days ago
**Summary:** We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML 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 motivated AI specialists to join our team and drive SOTA research 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 natural language processing and understanding 4. Design and implement generative modeling solutions for data augmentation 5. Research and develop graph-aware large language models 6. Develop and deploy AutoML pipelines 7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason 8. Use causal learning to identify and understand the cause and effect of relationships across data 9. 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 10. 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: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position 13. Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas 14. Programming experience in Python and hands-on experience with frameworks such as PyTorch 15. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. 17. Experience working and communicating cross functionally in a team environment. 18. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL). 19. Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field. 20. Experience taking ideas from research to production. 21. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 23. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $154,003/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-ext@meta.com.

About the Company

M

Meta

INDUSTRY
Other/Not Classified

Resume Resources

Free Resume TemplatesFree Resume Builder