Research Engineer, Monetization AI

Meta; Sunnyvale (CA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta’s Monetization AI Research division seeks AI specialists to advance state-of-the-art research across ranking, retrieval, model architecture, and optimization for monetization. The team focuses on leveraging cutting-edge AI/ML techniques to maximize user utility and advertiser value across Meta’s products.

You will develop large-scale model architectures, scale training, apply sequence learning, generative techniques, and graph-aware LLMs while collaborating with cross-functional teams to

Qualifications

• Research in deep learning, RL, NLP, CV, or related areas
• Programming in Python with PyTorch experience
• Work authorization in country of employment

Responsibilities

• Develop and implement large-scale model architectures leveraging scaling and transfer learning
• Prioritize training scalability and signal scaling to optimize performance and efficiency
• Apply next-generation sequence learning for NLP and understanding
• Design generative modeling solutions for data augmentation
• Research graph-aware large language models
• Develop and deploy AutoML pipelines
• Apply RL techniques including RLHF and RL4Reason
• Use causal learning to analyze relationships across data
• Collaborate with cross-functional teams to optimize ML systems with hardware-software co-design to improve performance and efficiency
• Address data-related challenges with semi/self-supervised learning, data augmentation, and domain adaptation

Skills

Model architectures

Training scalability

Sequence learning

Generative modeling

Graph LLMs

AutoML pipelines

Reinforcement learning

Causal learning

Hardware co-design

Self-supervised learning

Education

Bachelor's degree in Computer Science/Engineering

Job description

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 state‑of‑the‑art 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 next‑generation 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:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position
3. Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas
4. Programming experience in Python and hands‑on experience with frameworks such as PyTorch
5. 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:

1. First author publications at peer‑reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL)
2. Experience partnering with engineering, product, and data science teams to define requirements, align on priorities, and deliver ML solutions
3. Experience taking ideas from research to production
4. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
8. Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field

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 Aff... (rest of equal opportunity statement remains unchanged for brevity) ... 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].