Research Engineer, Language - Monetization AI

Facebook; Bellevue (WA); On-site; Full time

Job summary

An innovative organization is seeking AI Research Scientists to enhance personalized ad delivery through cutting-edge AI and ML technologies. This role focuses on advancing model architectures, natural language processing, and generative modeling to drive significant revenue growth. You'll be part of a dynamic team dedicated to pushing the boundaries of AI research, collaborating cross-functionally to implement scalable solutions. If you're passionate about leveraging AI to create impactful solutions and thrive in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• Experience in NLP, large language modeling, and deep learning.
• Strong programming skills in Python with frameworks like PyTorch.

Responsibilities

• Develop and implement large-scale model architectures.
• Collaborate with teams to optimize ML systems and performance.

Skills

Natural Language Processing

Deep Learning

Reinforcement Learning

Python Programming

PyTorch Framework

Graph-aware Models

Generative Modeling

AutoML Pipelines

Causal Learning

Transfer Learning

Education

Bachelor's in Computer Science

Master's or PhD in relevant field

Tools

AutoML

Large Language Models

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:**

Research Engineer, Language - 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. Experience holding an industry, faculty, or government researcher position.

13. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, 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. Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.

17. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).

18. Experience taking ideas from research to production.

19. Experience working and communicating cross functionally in a team environment.

20. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

**Public Compensation:**

$70.67/hour 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].