Research Engineer, Computer Vision - Monetization Generative AI

Facebook; Bellevue (WA); On-site; USD 8,000 - 251,000; Full time

Job summary

An innovative company is seeking a Research Engineer specializing in Generative AI and Computer Vision. This role involves pioneering the development of cutting-edge text-to-image and text-to-video models, utilizing advanced techniques like GANs and diffusion models. You will contribute to enhancing ad targeting and user engagement through AI-powered solutions. Join a dynamic team dedicated to transforming the advertising landscape with state-of-the-art technology. If you're passionate about AI and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• 2+ years of experience in Generative AI or Computer Vision.
• Experience leading large scale AI/ML projects.

Responsibilities

• Develop state-of-the-art generative models for images and videos.
• Optimize recommendation models for personalized ad targeting.

Skills

Generative AI

Computer Vision

Python

PyTorch

Reinforcement Learning

Data-Driven Optimization

Education

Bachelor's degree in Computer Science

Master's or PhD in relevant field

Job description

**Summary:**

Meta Monetization GenAI’s mission is to lead the charge in applied generative AI technology and build products that will help businesses become more productive and efficient. Our goal is to enable fully automated and data-driven creative/ad format optimization through GenAI.The team is responsible for building SoTA GenAI technology to generate best ads creatives and improve creative ranking for advertisers. We build a variety of GenAI models such as text-to-image/video generative model, image to image generative model, and image understanding/layout planning models.

**Required Skills:**

Research Engineer, Computer Vision - Monetization Generative AI Responsibilities:

1. Research and develop state-of-the-art text-to-image and text-to-video generative models using techniques such as diffusion models, GANs, and transformers to create realistic and high quality visual content.

2. Develop computer vision models for image understanding.

3. Design and develop AI-powered image and video editing models.

4. Apply Sequence Fine-tuning, Reinforcement Learning from Human Feedback, and Data-Driven Optimization techniques to improve the performance of GenAI models.

5. Develop and optimize recommendation models for personalized ad targeting and delivery to enhance user engagement, and drive business growth through relevant and effective advertising.

**Minimum Qualifications:**

Minimum Qualifications:

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

7. At least 2 years of industry experience in Generative AI, Computer Vision, or related fields.

8. Experience training Computer Vision, Generative AI, or related models (e.g., Pre-training, Post-training).

9. Experience leading large scale technical projects in AI or ML.

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

**Preferred Qualifications:**

Preferred Qualifications:

11. Master or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.

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

13. Experience working on product or product research teams.

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

**Public Compensation:**

$85.10/hour to $251,000/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].