AI Research Scientist, Computer Vision

Meta; Menlo Park (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is looking for a Research Scientist to join the Superintelligence Labs in Menlo Park, California. In this role, you will advance AI technologies through research in areas like vision models and 3D generation. Successful candidates will have a Bachelor's degree in a relevant field and be pursuing or possess a PhD. Strong skills in deep learning, Python, and communication are essential. The position offers a competitive salary range from $154,000 to $217,000 annually, plus bonuses and benefits.

Qualifications

• Bachelor's degree in Computer Science or relevant technical field.
• Currently pursuing or completing a PhD in related fields such as AI.
• Research experience in deep learning and computer vision.

Responsibilities

• Build models for estimating 3D properties from 2D.
• Conduct 3D reconstruction and generation research.
• Train and optimize machine learning methodologies.

Skills

Deep learning

Computer vision

Robotics

Python

PyTorch

Software development

Communication

Education

Bachelor's degree in Computer Science or related field

PhD in Computer Vision or related field

Job description

Overview

Meta is seeking Research Scientists to join Meta Superintelligence Labs (MSL) organization to work on making significant advances in AI. We are seeking researchers with experience in vision models, 3D reconstruction and generation, and general AI to join the team to investigate how to build spatial and physically-aware AI that will be the foundation for a new paradigm in how we interact and use computers. 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.

Responsibilities

• Build models that can estimate underlying 3D properties from 2D observations
• Conduct research and work with models in 3D reconstruction and generation
• Define, build and benchmark new capabilities needed for the next generation of AI
• Train and optimize state-of-the-art machine learning and neural network methodologies
• Work with and create large datasets, and contribute to data annotation engines

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Language, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Research Experience in deep learning, computer vision, robotics, or AI infrastructure
• Experience with Python and PyTorch
• Experience developing software and executing complex experiments
• Experience communicating research for public audiences of peers
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Research experience with 3D reconstruction, 3D generation, and / or video processing and generation
• 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, NeurIPS, SIGGRAPH, or similar
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives 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.

EEO Notice

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.

Accommodations

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].

Compensation

$154,000/year to $217,000/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.