Research Engineer, Computer Vision - Monetization Generative AI

The Rundown AI, Inc.; Menlo Park (CA); On-site; USD 8,000 - 251,000; Full time

Job summary

An innovative firm is seeking a Research Engineer specializing in Computer Vision and Generative AI. This exciting role involves developing cutting-edge models that enhance visual content creation and improve ad targeting strategies. You will work on state-of-the-art text-to-image and text-to-video models, utilizing advanced techniques like diffusion models and GANs. Join a team that is at the forefront of AI technology, shaping the future of advertising and creative optimization. If you're passionate about pushing the boundaries of AI and making a significant impact, this opportunity is perfect for you.

Benefits

Bonus

Equity

Benefits

Qualifications

• 2+ years of experience in Generative AI or Computer Vision.
• Strong programming skills in Python and experience with AI frameworks.

Responsibilities

• Research and develop state-of-the-art generative models for images and videos.
• Optimize AI models for personalized ad targeting and user engagement.

Skills

Generative AI

Computer Vision

Python

Reinforcement Learning

Data-Driven Optimization

Education

Bachelor's degree in Computer Science

Master or PhD in Computer Science

Tools

PyTorch

Job 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:

• 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.

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.

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].

$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.