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Full Time Ai Computer Science Jobs in Atlanta, GA

Atlanta, GA Hybrid Employment Type: Full-Time About Us: Datavault AI, along with its event ... Bachelor's degree in Computer Science, Statistics, Data Science, Machine Learning, or related ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

Honeywell Forge and AI team is a significant business segment of Honeywell International Inc ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Computer Science, Artificial Intelligence, Data Science, Machine Learning, Related field Preferred : • 3+ years of experience in AI/ML development • Experience deploying ML models into production ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • ... machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data ...

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... in Computer Science, Data Science, Electrical Engineering, Applied Math, or related field. • ... machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data ...

D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...

Lead AI and Data Science Engineer II

Atlanta, GA · On-site

$98K - $129K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Showing results 21-40

Full Time Ai Computer Science information

What is the difference between Full Time Ai Computer Science vs Data Scientist?

AspectFull Time Ai Computer ScienceData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or higher in Data Science, Statistics, or related fields; certifications in Data Analysis or ML
Work EnvironmentTech companies, research labs, AI-focused teamsBusiness, finance, healthcare, tech firms analyzing data
Employer & Industry UsagePrimarily in AI development, machine learning projectsData analysis, predictive modeling, business insights

Full Time Ai Computer Science roles focus on developing AI algorithms and systems, often requiring strong programming and machine learning skills. Data Scientists analyze data to extract insights, using statistical and analytical tools. While both roles involve machine learning, AI Computer Science emphasizes building AI models, whereas Data Scientists focus on interpreting data for decision-making.

What is a full time AI computer science job?

A Full Time AI Computer Science job typically involves working as a professional in the field of artificial intelligence, applying computer science principles to develop, implement, and optimize AI systems and solutions. Responsibilities may include designing machine learning models, analyzing data, programming algorithms, and collaborating with other engineers and data scientists. These roles are usually found in technology companies, research institutions, and industries adopting AI to enhance products or services, and require a strong background in computer science, mathematics, and programming languages such as Python or Java.

What are some common challenges faced by professionals in a full time AI computer science role, and how can they be addressed?

Professionals in full-time AI computer science roles often encounter challenges such as staying current with rapidly evolving technologies, managing large datasets, and effectively translating business needs into technical solutions. Keeping up with the latest research papers, tools, and frameworks is essential but can be time-consuming. Collaborating closely with cross-functional teams and participating in knowledge-sharing sessions can help bridge gaps and foster innovation. Additionally, leveraging mentorship and continuous learning opportunities within the organization can support career growth and help tackle complex problems more efficiently.

What are the key skills and qualifications needed to thrive as a full time AI computer scientist?

To thrive as a Full-Time AI Computer Scientist, you need strong programming skills (Python, C++), a solid background in mathematics and statistics, and at least a bachelor's or master's degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Machine Learning are typically required. Critical thinking, problem-solving, and effective teamwork help set top professionals apart in this field. These skills are crucial for designing, implementing, and optimizing AI solutions that solve complex real-world problems.
What are the most commonly searched types of Ai Computer Science jobs in Atlanta, GA? The most popular types of Ai Computer Science jobs in Atlanta, GA are:
What are popular job titles related to Full Time Ai Computer Science jobs in Atlanta, GA? For Full Time Ai Computer Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Full Time Ai Computer Science jobs in Atlanta, GA look for? The top searched job categories for Full Time Ai Computer Science jobs in Atlanta, GA are:
Infographic showing various Full Time Ai Computer Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Staff AI Scientist

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 12 days ago


Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

87th of 242 rated software companies


Job description

Intuit is looking for innovative and hands-on Senior Staff AI Scientist to join the Intuit AI team.

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.


Responsibilities

  • Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
  • Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
  • Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
  • Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization. 
  • Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.  
  • Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
  • Communicates with partners to ensure successful delivery and integration of DS solutions.  
  • Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.

Qualifications

  • 6+ years of industry experience with AI science
  • BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
  • 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
  • Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
  • Proficient  in NLP techniques, Explainable AI, and ML frameworks. 
  • Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
  • Efficient in SQL, Hive, SparkSQL, etc.
  • Comfortable working in a Linux environment
  • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
  • Quick learner, adaptable, with the ability to work independently in a fast-paced environment
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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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Benefits

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