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Phd Vision Science Jobs in Georgia (NOW HIRING)

Intuit

AI Scientist 2

Atlanta, GA · On-site

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math ... vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math ... vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math ... vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models ...

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

Define best practices and develop clear vision for data analysis and model productionalization ... PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Define best practices and develop clear vision for data analysis and model productionalization ... PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * 6+ years of experience in ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

Masters or PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * Model ... optimization, computer vision, recommendation, search or NLP; Demonstrated proficiency in ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data science/analyticsenvironment. * PhD inMathematics,Statistics,Engineering, or other ... This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision ...

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Phd Vision Science information

What is a PhD in Vision Science?

A PhD in Vision Science is an advanced research degree focused on the study of visual systems, including how vision works and how visual disorders are diagnosed and treated. Students in these programs explore topics such as ocular anatomy, visual perception, neuroscience, and eye diseases. Graduates often pursue careers in academia, clinical research, optometry, or the development of new vision technologies. The program typically involves both coursework and original research leading to a dissertation.

What are the key skills and qualifications needed to thrive as a PhD in Vision Science?

To thrive as a PhD in Vision Science, you need advanced knowledge of ocular anatomy, physiology, optics, research methodology, and often experience in clinical or laboratory settings. Proficiency with data analysis tools (such as MATLAB or Python), imaging systems, and scientific publishing platforms is typically required. Strong critical thinking, problem-solving, and effective communication skills distinguish successful professionals in this field. These skills are essential for conducting high-quality research, driving innovation, and effectively sharing findings with both scientific and clinical communities.

What are some typical research collaborations for someone in a PhD Vision Science role?

PhD Vision Science professionals often work closely with interdisciplinary teams that include optometrists, ophthalmologists, neuroscientists, and engineers. Collaborations frequently involve designing and conducting experiments, sharing data, and co-authoring publications to advance understanding of visual processes and eye diseases. These partnerships can extend to industry settings—such as developing vision correction technologies or diagnostic tools—offering diverse opportunities to broaden your research impact and professional network.

What is the difference between Phd Vision Science vs Optometrist?

AspectPhd Vision ScienceOptometrist
Required CredentialsPhD in Vision Science or related fieldDoctor of Optometry (OD) license
Work EnvironmentResearch labs, academia, industryClinical settings, private practices, clinics
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescriptions

While both roles focus on vision, a Phd Vision Science primarily involves research and development in vision-related fields, whereas an Optometrist provides clinical eye care and prescriptions. The PhD is research-oriented, often in labs or academia, while optometrists work directly with patients in clinical settings.

What can I do with a Phd vision science degree?

A PhD in vision science prepares individuals for research, academia, and advanced roles in vision-related industries such as ophthalmology, optometry, and biomedical device development. Graduates often work as university professors, research scientists, or in industry roles involving vision technology, requiring skills in data analysis, experimental design, and scientific communication.

What are popular job titles related to Phd Vision Science jobs in Georgia?

For Phd Vision Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Phd Vision Science jobs in Georgia look for?

The top searched job categories for Phd Vision Science jobs in Georgia are:

What cities in Georgia are hiring for Phd Vision Science jobs?

Cities in Georgia with the most Phd Vision Science job openings:

Phd Vision Science jobs near you
Infographic showing various Phd Vision Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 15% Part Time, 10% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI Scientist 2

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 12 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

106th of 244 rated software companies

Job description

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.


Responsibilities


  • Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.

  • Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.

  • Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.

  • Discover, process, and train on huge data sets.

  • In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.

  • Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.


Qualifications


  • MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.

  • 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.

  • 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.

  • Familiar with the latest trends and applications of generative AI including agentic applications. 

  • Efficient in SQL

  • Comfortable in a Linux environment

  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.


Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 



Employment Type: Full-Time

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