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Entry Level Ai Computer Science Jobs in Pittsburgh, PA

AEG

Research Engineer (AI + Sports)

Pittsburgh, PA · On-site

PhD in Computer Vision, Machine Learning, Computer Science, or a closely related field * Strong ... Genuine enthusiasm for sports and AI * Genuine enthusiasm for going beyond book learning, and to ...

Duolingo

Staff AI Research Engineer

Pittsburgh, PA · On-site

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ... Advanced degree in Computer Science, Engineering, or a related field with a focus on machine ...

Accenture

Responsible AI Engineer

Pittsburgh, PA · On-site

AI is becoming more pervasive, more powerful, and more accessible. With these new opportunities ... Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical ...

Accenture

Responsible AI Engineer

Pittsburgh, PA · On-site

AI is becoming more pervasive, more powerful, and more accessible. With these new opportunities ... Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical ...

Fujitsu

Physical AI Senior Researcher

Pittsburgh, PA · On-site

Physical AI Senior Researcher Fujitsu Research of America (FRA) is seeking a highly motivated and ... PhD in Computer Science, Robotics, Artificial Intelligence, or a related field * Strong track ...

Deloitte

AI Engineer Consultant

Pittsburgh, PA · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

Air

AI Engineer

Pittsburgh, PA · On-site

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a ...

Posted today

Triunity Software

AI or ML Engineer

Saxonburg, PA · On-site

$90K - $110K/yr

Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field * Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * Proficiency ...

Air

AI Engineer

Pittsburgh, PA

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a ...

Posted today

Air

AI Engineer

Pittsburgh, PA · On-site

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a ...

New

Air

Lead AI Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a ...

Air

Lead AI Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a ...

Air

Lead AI Engineer

Pittsburgh, PA · On-site

$99K - $131K/yr

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a ...

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All JobsAi Computer Science JobsEntry Level Ai Computer Science JobsEntry Level Ai Computer Science Jobs in Pittsburgh, PA

Entry Level Ai Computer Science information

See Pittsburgh, PA salary details

$28.6K

$97.3K

$234.5K

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

As of Sep 4, 2026, the average yearly pay for entry level ai computer science in Pittsburgh, PA is $97,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $102,900.00 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 the most commonly searched types of Ai Computer Science jobs in Pittsburgh, PA?

The most popular types of Ai Computer Science jobs in Pittsburgh, PA are:

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

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

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

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

What cities near Pittsburgh, PA are hiring for Entry Level Ai Computer Science jobs?

Cities near Pittsburgh, PA with the most Entry Level Ai Computer Science job openings:

Entry Level Ai Computer Science jobs near you
Infographic showing various Entry Level Ai Computer Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,339 per year, or $46.8 per hour.

Research Engineer (AI + Sports)

YinzCam Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 9 days ago

Job description

Description
YinzCam is seeking exceptional Research Engineers to lead the development of AI-driven video analysis and game analytics systems that power next-generation fan experiences in professional sports. This is a rare opportunity to conduct publishable research while building products that reach millions of fans in real time.
You'll work at the cutting edge of computer vision and machine learning applied to sports, collaborating with leading academic researchers at Carnegie Mellon University while taking your innovations from prototype to production. This role demands both research rigor and product sensibility. We value publication records and engineering excellence equally. This is a full-time, onsite position based in Pittsburgh, PA.
You will be at the forefront of establishing a new, in-house AI Research Lab within YinzCam, and working with multiple sports teams, leagues, and venues to apply AI to the fan experience and to business operations.
CORE RESPONSIBILITIES.
Video Analysis & Computer Vision
  • Design and develop AI systems for real-time video understanding of live sporting events (player detection, action recognition, spatial analysis, etc.)
  • Build robust computer vision pipelines that handle challenging real-world footage (lighting, occlusion, multiple camera angles)
  • Explore novel architectures and techniques in modern CV to solve sports-specific problems

Large-Scale Game Analytics
  • Develop AI systems to extract, aggregate, and interpret game data at scale across multiple sports, teams, and seasons
  • Create spatial and temporal analytics frameworks that surface actionable insights from video and sensor data
  • Build analytics platforms that scale from single games to league-wide deployments

AI-Powered Fan Experiences
  • Translate video understanding and analytics into engaging, intuitive experiences for millions of fans
  • Collaborate on product features that leverage AI (real-time highlights, personalized stats, interactive visualizations, etc.)
  • Ensure research outputs move through the full product development lifecycle

CORE GOALS.
  1. Publish Your Work: We intend to publish the work coming out of these research projects. Papers will be published in top-tier CV/ML venues and presented at conferences.
  2. Bridge Academia & Industry: Work directly with Prof. Priya Narasimhan (Carnegie Mellon University) and her research team to translate academic innovations into applied systems. Mentor CMU students, collaborate on research projects, and shape the next generation of sports AI researchers.
  3. From Research to Product: Own the path from prototype to production. You'll participate in design reviews, handle real-world deployment challenges, and see your ideas impact actual fan experiences at scale.

CORE REQUIREMENTS.
  • PhD in Computer Vision, Machine Learning, Computer Science, or a closely related field
  • Strong publication track record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.)
  • Deep expertise in modern computer vision techniques: neural networks, object detection, semantic/instance segmentation, action recognition, optical flow, pose estimation, or related areas
  • Proficiency in ML frameworks (PyTorch, TensorFlow) and modern deep learning practices
  • Strong software engineering fundamentals: Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD
  • Demonstrated ability to implement complex systems end-to-end
  • Background in sports analytics, sports tech, or applied computer vision (industry, research, or both)
  • Genuine enthusiasm for sports and AI
  • Genuine enthusiasm for going beyond book learning, and to have ideas go into large-scale production

HOW TO APPLY
Please submit:
  1. Your CV (with publication list) and research statement.
  2. A cover letter describing your research interests and why you're excited about this opportunity
  3. Links to your top 2-3 publications hat best represent your work

Apply