AI Research Scientist, Multimodal Perception

Meta; Redmond; On-site; AUD 174,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta Reality Labs is seeking an AI Research Scientist to advance vision and multimodal perception. You will build models that understand images and videos, work with efficient encoders and multimodal LLMs, and define capabilities for the next generation of AI.

The role involves training and benchmarking state-of-the-art methods while collaborating with diverse teams. You will also handle large datasets, contribute to data annotation efforts, and publish impactful results.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/related field.
• PhD in AI/vision/robotics or related area preferred.
• Experience with deep learning, computer vision, robotics or AI infrastructure.
• Proficiency in Python and PyTorch.
• Experience developing software and running complex experiments.
• Ability to communicate research to peers.

Responsibilities

• Build models that understand images and videos.
• Research with efficient vision encoders and multimodal LLMs.
• Define, build and benchmark capabilities for next-gen AI.
• Train and optimize state-of-the-art ML and neural networks.
• Work with large datasets and contribute to data-annotation engines.

Skills

Python

PyTorch

Deep Learning

Computer Vision

Research Communication

Education

Bachelor's degree in Computer Science or related field

PhD in AI/related field

Tools

Git

Jupyter

Job description

Summary:

Meta is seeking Research Scientists to join Meta Reality Labs organization to work on making significant advances in vision and multi-modal perception. You will work on vision models, image and video understanding and sensor fusion. The team builds efficient on-device models that will be the foundation for a new paradigm in how we perceive the world. You will work with a highly interdisciplinary team of scientists, engineers, and cross-functional partners with a broad range of experiences, perspectives, approaches, and backgrounds and access cutting-edge technology, resources, and research facilities.

Required Skills:

AI Research Scientist, Multimodal Perception Responsibilities:

1. Build models that can understand images and videos




2. Conduct research and work with efficient vision encoders, multi-modal LLMs




3. Define, build and benchmark new capabilities needed for the next generation of AI




4. Train and optimize state-of-the-art machine learning and neural network methodologies




5. Work with and create large datasets, and contribute to data annotation engines

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience




2. AI Research Scientist, multimodal perception (PhD)




3. Research Experience in deep learning, computer vision, robotics, or AI infrastructure




4. Experience with Python and PyTorch




5. Experience developing software and executing complex experiments




6. Experience communicating research for public audiences of peers




7. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

1. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward




2. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)




3. Research experience with efficiency as a focus




4. Experience working and communicating cross functionally in a team environment




5. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, ECCV, ICML, NeurIPS or similar

Public Compensation:

$122,000/year to $181,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affiantive 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].