AI Research Scientist, CoreML - Monetization AI

Meta; Raleigh (NC); On-site; USD 147,000 - 208,000; Full time

Job summary

A leading tech company is seeking an AI Research Scientist in Raleigh to advance AI and ML technologies in monetization. The role involves developing model architectures, optimizing AI systems, and collaborating with cross-functional teams. The ideal candidate should hold a PhD in a relevant field and have experience in natural language processing and deep learning. Competitive salary of $147,000–$208,000 annually, with bonuses and equity options.

Qualifications

• Bachelor's degree in Computer Science or equivalent experience.
• PhD in relevant technical field.
• Experience in natural language processing and deep learning.
• Publications in AI or machine learning.

Responsibilities

• Develop scalable model architectures for AI applications.
• Optimize model performance and efficiency.
• Collaborate with teams to enhance ML systems.
• Research generative modeling techniques.

Skills

AI Research

Natural Language Processing

Machine Learning

Python

Deep Learning

Reinforcement Learning

Education

Bachelor's degree in Computer Science or relevant field

PhD in Computer Science or relevant field

Tools

PyTorch

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 AI Research Scientists to join our team and drive SOTA research across the Monetization organization.

Required Skills

AI Research Scientist, CoreML - 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

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field
3. Experience holding an industry, faculty, or government researcher position
4. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas
5. Publications in machine learning, artificial intelligence, or related field
6. Programming experience in Python and hands-on experience with frameworks such as PyTorch
7. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

1. Experience taking ideas from research to production.
2. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
3. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

Public Compensation

$147,000/year to $208,000/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 [e-mail].