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Entry Level Ai Computer Science Jobs in Pittsburgh, PA

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior AI Research Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

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

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Preferred Qualifications * BS, MS or higher degree in Computer Science, Robotics, Engineering or a ...

AI & Test Automation Lead

Pittsburgh, PA · On-site

$44 - $60/hr

Degree in Engineering, Computer Engineering, Computer Science, or similar field. , * Experience or understanding of applying AI/ML for test automation, such as using machine learning or natural ...

AI & Test Automation Lead

Pittsburgh, PA · On-site

$46 - $62.75/hr

Degree in Engineering, Computer Engineering, Computer Science, or similar field. , * Experience or understanding of applying AI/ML for test automation, such as using machine learning or natural ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

AI & Test Automation Lead

Pittsburgh, PA · On-site

$44 - $60/hr

Degree in Engineering, Computer Engineering, Computer Science, or similar field. , * Experience or understanding of applying AI/ML for test automation, such as using machine learning or natural ...

Showing results 21-40

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 Aug 13, 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 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 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 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 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:
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.

Staff AI Research Engineer

Duolingo

Pittsburgh, PA

Full-time

Re-posted 17 days ago


Job description

Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in!

At Duolingo, you'll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You'll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes - while doing work that's both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.


About the role...

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we're building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.

  You will...

  • Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.
  • Contribute to the development and training of bandit models and large-scale neural network models.
  • Collaborate with cross-functional teams to understand their needs, to align the models' outputs with company objectives.
  • Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. 
  • Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
  • Mentor team members, providing guidance and support in their professional development.
  • Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

  You have...

  • Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
  • Strong background in training and fine-tuning large models in an applied setting.
  • Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
  • Excellent leadership and communication skills, with the ability to manage and inspire a team.
  • Deep understanding of machine learning concepts, frameworks, and best practices.