Research Engineer, Computer Vision - GenAI Evaluations

We are looking to hire an experienced Research Engineer to help us build evaluation solutions for GenAI Media models. Join a team of research engineers who are passionate for bringing research models to production. Use evaluations and datasets to allow us to evaluate our models for images and video. This involves researching existing benchmarks available, coming up with novel approaches to evaluate our GenAI models as well as partnering with Cross Functional Partners to map offline evaluation to online metrics.

Research Engineer, Computer Vision - GenAI Evaluations Responsibilities:

• Design and implement methods to evaluate our media generation and editing capabilities.
• Establish evaluation processes ranging from offline eval, data mining, third party evaluation and automated solutions
• Work with a large and globally distributed team across multiple functions to understand the needs and align on goals and outcomes.
• Play a significant role in healthy cross-functional collaboration.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 10+ year(s) of work experience in a university, industry, or government lab with emphasis on AI Research in machine learning, vision and deep learning
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Experience in architectural patterns of large scale software applications.

Preferred Qualifications:

• Direct experience in building evals for generative AI and multimedia models

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 [email protected].

$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.