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Masters Degree In Vision Science Jobs (NOW HIRING)

Meta

AI Research Scientist, Computer Vision

Menlo Park, CA · On-site

$154K - $217K/yr

... 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 ...

Kimley-Horn

Environmental Science Analyst

Dallas, TX · On-site

A Bachelors or Masters Degree in relevant majors including Biology, Environmental Science, or ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Siri InfoSolutions Inc

Software Engineers

Irving, TX · On-site

Education and Experience Requirements Masters degree in Computer Science, Engineering or related field of study or alternatively a Bachelors degree (any) with 5 years of relevant experience in lieu ...

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Masters Degree In Vision Science information

What are the key skills and qualifications needed to thrive with a Master's Degree in Vision Science, and why are they important?

To excel with a Master's Degree in Vision Science, you need a strong background in ocular anatomy, visual perception, research methodology, and data analysis, usually supported by a related undergraduate degree. Familiarity with laboratory instruments, imaging software, and statistical analysis programs like SPSS or MATLAB is commonly required. Excellent problem-solving, critical thinking, and communication skills help you effectively conduct research, interpret findings, and collaborate with interdisciplinary teams. These abilities are essential for advancing vision research, contributing to clinical innovations, and improving patient outcomes in the field of vision science.

What career paths are available to graduates with a Master's Degree in Vision Science?

Graduates with a Master's Degree in Vision Science often pursue diverse career paths, including clinical research, academic teaching, product development in the optical industry, or roles within vision rehabilitation programs. Many find opportunities in research institutions, working alongside optometrists, ophthalmologists, and neuroscientists to advance our understanding of visual systems. Others may work in private industry, contributing to the development of vision-related technologies or clinical trials. The degree also provides a strong foundation for those interested in continuing toward a PhD or professional programs in optometry or ophthalmology.

What can you do with a master's degree in vision science?

A master's degree in vision science prepares graduates for a range of careers in research, clinical practice, and the optical industry. Graduates often work in vision research labs, eye care clinics, or companies developing vision-related technology. Some pursue further study to become optometrists or ophthalmologists, while others contribute to developing new treatments for visual disorders. The degree also opens opportunities in academia, public health, and education related to vision and eye health.

What is the difference between Masters Degree In Vision Science vs Optometrist?

AspectMasters Degree In Vision ScienceOptometrist
Required CredentialsMaster's degree in vision science, research or clinical courseworkDoctor of Optometry (OD) license, clinical training
Work EnvironmentResearch labs, academic settings, industryPrivate practices, clinics, healthcare facilities
Industry UsageResearch institutions, academia, vision technology companiesHealthcare providers diagnosing and treating eye conditions

The Masters Degree In Vision Science focuses on research, vision technology, and academic roles, while an Optometrist is a licensed healthcare professional providing eye care and prescriptions. Both roles require specialized education, but their work environments and career paths differ significantly.

AI Research Scientist, Computer Vision

AI Research Scientist, Computer Vision

Meta

Menlo Park, CA • On-site

$154K - $217K/yr

Full-time

Posted 8 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies

Job description

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, 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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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