Research Engineer, Computer Vision/Multimodal - Generative AI

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

Job summary

An innovative company is seeking a Research Engineer with expertise in Computer Vision to join their Generative AI team. This role involves leading the development of cutting-edge models and conducting impactful research across various modalities. You will collaborate with cross-functional teams to push the boundaries of AI technology, contributing to projects that have real-world applications. If you are passionate about advancing AI and enjoy solving complex problems, this opportunity allows you to make a significant impact in a dynamic and forward-thinking environment.

Qualifications

• 2+ years of industry research or engineering experience.
• Experience training large-scale Computer Vision models.

Responsibilities

• Lead development of scalable data curation and model evaluation systems.
• Contribute to experiments and organize results.

Skills

Python

PyTorch

Computer Vision

Machine Learning

Data Curation

Education

Bachelor's degree in Computer Science

Master or PhD in relevant field

Job description

Meta is seeking a Research Engineer with expertise in Computer Vision to join our Generative AI pillar. We conduct in-depth research and engineering to build state-of-the-art foundational models, which we often open-source, like our team’s recently released Llama 4. We push boundaries across multiple modalities (e.g., text, speech, image, video) and focus on critical domains such as pre-training, post-training, data training, safety, evaluation, agents, etc.

Research Engineer, Computer Vision/Multimodal - Generative AI Responsibilities:

• Lead, collaborate, and execute on developing scalable and effective data curation, model development and eval systems that push forward the state of the art CV and multimodal research.
• Work towards long-term ambitious research/development goals, while identifying intermediate milestones.
• Directly contribute to experiments, including designing experimental details, building reusable code, running evaluations, and organizing results.
• Drive innovation through seamless collaboration, collective problem-solving, and XFN initiatives.
• Prioritize research and development that can be applied to Meta's product development.
  
  

Minimum Qualifications:

• 2+ years of industry research or engineering experience.
• Experience training large-scale Computer Vision or related AI models/datasets.
• Fluent in Python and PyTorch (or equivalent).
• Experience leading large scale AI/ML technical projects.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  
  

Preferred Qualifications:

• Master or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
• Publication track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward.
• 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.