AI for Monetization is a top priority for the company because of its potential to drive significant revenue growth by improving advertiser performance. Our team is taking the lead in this space with a mission to enable fully automated and data-driven creative/ad format optimization through GenAI. With both near and longterm strategic investments, the team has successfully launched many GenAI driven Ad creative products and a pipeline of tech innovations to unlock significant future revenue. The team’s scope encompasses various aspects of the End-to-End Ad creative generation process. We build and leverage state-of-the-art GenAI technology to help advertisers diversify and optimize creatives, reducing creative fatigue, increasing ads asset liquidity, and enhancing appeal and personalization. The brand new experience empowered by GenAI will make it easy for advertisers to create ads with basic input or instructions such as prompts and reference images, fundamentally transforming the landscape of ads business.
Research Engineer, Computer Vision (PhD) Responsibilities:
- Work with researchers and engineers to develop input architectures that combine computer vision and language.
- Design and prototype interactive experiences and evaluate them through user research.
- Design and prototype data collection systems to accelerate machine learning.
- Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
- Experience working with PyTorch or TensorFlow.
- Experience with sequence modeling, domain adaptation or representation disentanglement.
- Experience designing data collection protocols and quality control.
- Experience with C++, Python, or other scripting languages
- Technical knowledge across topics including machine learning, optimization, Bayesian statistics and state estimation.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Research experience in end-to-end image generative modeling.
- Experience transferring technology from research in computer vision, machine perception, or machine learning into a shipping product.
- Experience with joint hardware-software development and associated rapid prototyping.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar.
- 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 accommodations-ext@fb.com.
$117,000/year to $173,000/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.
