Research Engineer, Computer Vision - Creators

The Rundown AI, Inc.; Seattle (WA); On-site; USD 56,000 - 173,000; Full time

Job summary

An innovative company is seeking AI Specialists to join their applied research team. This role focuses on advancing machine learning research in the Computer Vision and Multimodal domains. You will train models and develop algorithms that enhance product experiences across various modalities. Collaborate with a talented team to push the boundaries of technology and contribute to the development of immersive experiences. If you have a passion for AI and want to be part of shaping the future of social technology, this opportunity is for you.

Qualifications

• 2+ years of industry experience in AI, focusing on Computer Vision.
• Experience training AI/ML models and developing algorithms.

Responsibilities

• Train models for image/video/audio understanding.
• Develop algorithms based on machine learning methodologies.

Skills

Python

Computer Vision

Generative AI

Machine Learning

Neural Networks

Cross-Functional Communication

Education

Bachelor's degree in Computer Science

Master's degree or PhD in Computer Science

Tools

PyTorch

Job description

Meta is seeking AI Specialists with expertise in the Computer Vision and/or Multimodal domain to join our applied research team in the Creators pillar. We push boundaries across multiple modalities (e.g., video, audio, image, behavior understanding). You will contribute to advancing state-of-the-art machine learning research and apply it to drive product innovation across our Family of Apps.

Research Engineer, Computer Vision - Creators Responsibilities:

1. Train models for image/video/audio/behavior understanding.
2. Apply relevant AI and machine learning techniques to build intelligent perception systems that enhance Meta's products and experiences.
3. Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
4. Conduct research to enable understanding the semantics of data across various modalities.
5. Develop custom or novel architectures, define use cases, and create methodologies and benchmarks to evaluate approaches.
6. Understand how machine learning systems interact with surrounding systems.

Minimum Qualifications:

1. Currently pursuing or have completed a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field prior to joining Meta.
2. At least 2 years of industry experience in Generative AI, Computer Vision, or related fields.
3. Experience training Computer Vision or related AI/ML models.
4. Proficiency in Python and experience with frameworks such as PyTorch.
5. Legal authorization to work in the country of employment at the time of hire, maintained throughout employment.

Preferred Qualifications:

1. Master's degree or PhD in Computer Science, Computer Engineering, or relevant fields.
2. First-authored publications at peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH).
3. Experience solving complex problems, evaluating solutions, and making trade-offs.
4. Experience working on product or research teams.
5. Strong communication skills and ability to work cross-functionally.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook to apps like Messenger, Instagram, and WhatsApp, we empower billions worldwide. We are moving beyond 2D screens toward immersive experiences like AR and VR, shaping the future of social technology. Join us to help build a future beyond current digital connections—beyond screens, distance, and even physics.

Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. We consider qualified applicants with criminal histories, as permitted by law. Meta participates in the E-Verify program where required. We may use AI and machine learning in the employment process.

Meta is committed to accommodations for candidates with disabilities. Contact us at [e-mail] for assistance.

Compensation:

$56.25/hour to $173,000/year + bonus + equity + benefits. Compensation depends on skills, qualifications, experience, and location. Benefits details are available at Meta.