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Full Time H1B Computer Science Jobs in Atlanta, GA

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... full-time position is $133,500-$163,000, which can vary if outside this location,plus bonus ...

Jobs for Humanity

Unclassified

Norcross, GA · On-site

$53K - $67K/yr

... Full-time Estimated: $53K - $67.1K a year 4 hours ago Qualifications - Microsoft Windows Server - Network administration - Computer science - TCP Nortel - Computer Science - Customer service - OSPF ...

Truist

Data Engineer I - Wholesale Credit Delivery

Atlanta, GA · On-site

$110K - $132K/yr

... Data Science, Computer Science, or Engineering. 2. Some experience with data engineering and ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

Dolby

Senior Audio AI Researcher

Atlanta, GA · On-site

$88K - $120K/yr

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... The Atlanta Area base salary range for this full-time position is $138.000-170,000, which can vary ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Locals OR Ready to ... Business management, computer science, or any related discipline will be Plus 2- 5 years of data ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Immediate Start - 7th ... Business management, computer science, or any related discipline will be Plus 5+ years of data and ...

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All JobsH1B Computer Science JobsFull Time H1B Computer Science JobsFull Time H1B Computer Science Jobs in Atlanta, GA

Full Time H1B Computer Science information

See Atlanta, GA salary details

$80.3K

$98.6K

$130.3K

How much do full time h1b computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full time h1b computer science in Atlanta, GA is $98,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $110,600.00 per year, depending on experience, location, and employer.

What is the difference between Full Time H1B Computer Science vs Full Time H1B Software Engineer?

AspectFull Time H1B Computer ScienceFull Time H1B Software Engineer
Required CredentialsBachelor's or higher in Computer Science or related field; often includes certificationsBachelor's or higher in Software Engineering, Computer Science, or related field; certifications vary
Work EnvironmentResearch, development, academia, or industry roles involving computing principlesDesigning, developing, and testing software applications in tech companies or IT firms
Employer & Industry UsageUniversities, research labs, tech companies, government agenciesTech firms, startups, software development companies, IT departments

Both roles require a background in Computer Science, but Full Time H1B Computer Science often involves research or theoretical work, while Full Time H1B Software Engineer focuses on practical software development. The choice depends on your career focus within the tech industry.

What are popular job titles related to Full Time H1B Computer Science jobs in Atlanta, GA?

For Full Time H1B Computer Science jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Full Time H1B Computer Science jobs in Atlanta, GA look for?

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What cities near Atlanta, GA are hiring for Full Time H1B Computer Science jobs?

Cities near Atlanta, GA with the most Full Time H1B Computer Science job openings:

Full Time H1B Computer Science jobs near you

Senior Staff AI Scientist

Intuit

Atlanta, GA • On-site

Full-time

Re-posted 23 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 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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