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Entry Level Ai Computer Science Jobs in Austin, TX

Software Engineer (AI/ML)

Austin, TX · On-site

$98 - $166/hr

Evaluate emerging AI technologies and develop proof-of-concept solutions for new product ... Required QualificationsMS in Computer Science, Computer Engineering, Electrical Engineering ...

What You'll Bring • Bachelor's degree in Computer Science, Software Engineering, Computer ... AI engineering and analysis concepts and technologies, such as object-oriented programming ...

D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence • 2-5 years of ...

AI/ML Logic Design Engineer-Senior

Austin, TX · On-site

$127.20 - $190.80/hr

... of AI/ML applications. The role includes microarchitecture and RTL development, along with rapid ... Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related ...

Showing results 21-40

Entry Level Ai Computer Science information

See Austin, TX salary details

$29.2K

$99.4K

$239.4K

How much do entry level ai computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level ai computer science in Austin, TX is $99,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $105,100.00 per year, depending on experience, location, and employer.

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Entry Level Ai Computer Science jobs in Austin, TX?

For Entry Level Ai Computer Science jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Computer Science jobs in Austin, TX look for?

The top searched job categories for Entry Level Ai Computer Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Ai Computer Science jobs?

Cities near Austin, TX with the most Entry Level Ai Computer Science job openings:

Infographic showing various Entry Level Ai Computer Science job openings in Austin, TX as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,384 per year, or $47.8 per hour.

Software Engineer (AI/ML)

KLA-Belgium

Austin, TX • On-site

$98 - $166/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/DivisionEnabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you’ll be joining the most sophisticated and successful process-control company in the semiconductor industry-working across functions to solve the most complex technical problems in the digital age.Job Description/Preferred QualificationsPosition OverviewKLA is seeking a highly motivated Software AI Engineer to develop next-generation artificial intelligence and machine learning solutions supporting semiconductor process control, inspection, and metrology systems. The successful candidate will work at the intersection of AI, computer vision, algorithm development, and high-performance software engineering to deliver scalable solutions that drive product innovation and customer value.Key ResponsibilitiesDesign, develop, and deploy AI/ML algorithms for semiconductor inspection, metrology, and process control applications.Build and optimize machine learning models using large-scale engineering and manufacturing datasets.Develop software systems supporting model training, validation, deployment, and inference workflows.Collaborate with algorithm engineers, software engineers, application engineers, and product teams to integrate AI capabilities into production systems.Evaluate emerging AI technologies and develop proof-of-concept solutions for new product capabilities.Improve performance and scalability through optimization techniques including parallel computing, GPU acceleration, and efficient software architectures.Contribute to cloud-enabled and edge-computing AI solutions supporting semiconductor equipment platforms.Drive technical innovation while maintaining software quality, reliability, and maintainability.Required QualificationsMS in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Artificial Intelligence, Machine Learning, or a related field.Strong programming experience in Python and C++.Experience developing and deploying machine learning or deep learning solutions.Solid understanding of data structures, algorithms, software engineering principles, and object-oriented design.Experience working in Linux development environments.Strong analytical and problem-solving skills.Preferred QualificationsExperience with computer vision, image processing, computational imaging, or machine vision systems.Experience with deep learning frameworks such as TensorFlow or PyTorch.GPU programming experience using CUDA or other acceleration technologies.Experience with semiconductor manufacturing, metrology, inspection, or process control applications.Exposure to MLOps, cloud computing, distributed systems, or large-scale data platforms.Experience productizing AI solutions in a commercial software environment.Minimum QualificationsMaster's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 yearsBase Pay Range: $97,600.00 - $165,900.00 AnnuallyPrimary Location: USA-TX-Austin-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. #J-18808-Ljbffr