AI Research Engineer, Computer Vision - FAIR

The Rundown AI, Inc.; San Francisco (CA); On-site; USD 146,000 - 208,000; Full time

Job summary

An innovative company is seeking an AI Research Engineer to join their FAIR team, focusing on cutting-edge computer vision research. This role involves leading collaborative projects, designing experiments, and developing large datasets to enhance AI technologies. Ideal candidates will have a strong background in deep learning and computer vision, with proficiency in Python and PyTorch. The position offers a competitive salary and opportunities for impactful contributions in a dynamic research environment, where your work will help shape the future of AI and technology.

Qualifications

• 3+ years of experience in Deep Learning and Computer Vision.
• Proficiency in Python and PyTorch is required.

Responsibilities

• Lead research to advance the state of the art in computer vision.
• Design and implement experiments, reporting results.

Skills

Deep Learning

Computer Vision

Python

PyTorch

Research Experience

NLP

C++

CUDA

Education

Bachelor's in Computer Science

Master's in a relevant field

PhD in computer vision or related areas

Job description

Meta FAIR is one of the top industrial research organizations in the world. In the FAIR Perception team, we publish groundbreaking papers (e.g., SAM, SAM 2, Masked Autoencoders, Hiera) and collaborate closely with Applied Research and Meta production teams to bring the latest research findings to Meta's products for connecting billions of users.

We are driving an ambitious agenda building on the success of SAM, SAM 2, and other related works to create foundation models for computer vision and language. We develop state-of-the-art models, large-scale datasets, and interactive demos to drive impact. We are looking for engineers interested in software engineering and computer vision research.

AI Research Engineer, Computer Vision - FAIR

Responsibilities:

1. Leading, collaborating, and executing research to advance the state of the art in computer vision.
2. Designing, implementing, evaluating experiments, and reporting results.
3. Working with and creating large datasets and evaluation benchmarks.
4. Collaborating with scientists and engineers in a cross-functional team.
5. Building optimized software tools and infrastructure to accelerate research outcomes.

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
2. Master's degree in a relevant field or equivalent practical experience.
3. 3+ years of experience in Deep Learning, Computer Vision, Graphics, Robotics, or AI Infrastructure.
4. Experience coding in software and executing complex experiments.
5. Research experience in computer vision, multimodal perception, NLP, or HCI + perception.
6. Proficiency with Python and PyTorch.

Preferred Qualifications:

1. PhD in computer vision, machine learning, or related areas.
2. Research publications in AI conferences like ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, etc.
3. Experience with C++, CUDA, and model optimization.

About Meta:

Meta builds technologies that connect people, foster communities, and support businesses. From Facebook's launch in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta continues to innovate towards immersive experiences in AR and VR, shaping the future of social technology.

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 are committed to providing reasonable accommodations for candidates with disabilities. Contact us at [e-mail] for assistance.

Compensation ranges from $70.67/hour to $208,000/year plus bonus, equity, and benefits. Compensation is based on skills, qualifications, experience, and location. Benefits details are available at Meta.