Research Engineer, Computer Vision - Monetization Generative AI
Apply NowCompany: The Meta
Location: Menlo Park, CA 94025
Description:
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.
Research Engineer, Computer Vision - Monetization Generative AI Responsibilities
Minimum Qualifications
Preferred Qualifications
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
$85.10/hour to $251,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .
Research Engineer, Computer Vision - Monetization Generative AI Responsibilities
- 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.
- Develop computer vision models for image understanding.
- Design and develop AI-powered image and video editing models.
- Apply Sequence Fine-tuning, Reinforcement Learning from Human Feedback, and Data-Driven Optimization techniques to improve the performance of GenAI models.
- 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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- At least 2 years of industry experience in Generative AI, Computer Vision, or related fields.
- Experience training Computer Vision, Generative AI, or related models (e.g., Pre-training, Post-training).
- Experience leading large scale technical projects in AI or ML.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
Preferred Qualifications
- Master or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
- Experience working on product or product research teams.
- Experience working and communicating cross functionally in a team environment.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
$85.10/hour to $251,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .