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Computer Science Artificial Intelligence Jobs in Baltimore, MD

Parsons Corporation

Computer Scientist SME

Aberdeen, MD · On-site

Artificial intelligence and information systems * Networking, distributed processing, and real-time ... Master's degree in computer science, electronics engineering, or other engineering or technical ...

Parsons

Computer Scientist SME

Aberdeen, MD · On-site

Artificial intelligence and information systems * Networking, distributed processing, and real-time ... Master's degree in computer science, electronics engineering, or other engineering or technical ...

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Computer Science Artificial Intelligence information

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$50.2K

$110.6K

$136.6K

How much do computer science artificial intelligence jobs pay per year?

As of May 29, 2026, the average yearly pay for computer science artificial intelligence in Baltimore, MD is $110,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a Computer Science Artificial Intelligence job?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive in the Computer Science Artificial Intelligence position, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

What does a typical day look like for someone working in Computer Science Artificial Intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.
More about Computer Science Artificial Intelligence jobs
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Baltimore, MD? The most popular types of Computer Science Artificial Intelligence jobs in Baltimore, MD are:
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What cities near Baltimore, MD are hiring for Computer Science Artificial Intelligence jobs? Cities near Baltimore, MD with the most Computer Science Artificial Intelligence job openings:
Computer Science Artificial Intelligence jobs near you
Infographic showing various Computer Science Artificial Intelligence job openings in Baltimore, MD as of May 2026, with employment types broken down into 1% Internship, 58% Full Time, 39% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,630 per year, or $53.2 per hour.
ChemBE Systems/Data Science/Artificial Intelligence Professor - all ranks

ChemBE Systems/Data Science/Artificial Intelligence Professor - all ranks

Johns Hopkins University

Baltimore, MD • On-site

$150K - $200K/yr

Full-time

Posted 14 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 199 frontline employees who took The Breakroom Quiz

216th of 864 rated healthcare providers

Job description

Description
Faculty position in Chemical and Biomolecular Engineering
Johns Hopkins
The Johns Hopkins University's Department of Chemical and Biomolecular Engineering seeks applicants for tenure-track/tenured faculty positions. Candidates with research and teaching interests in Systems Theory (Design -from plant level to molecular- and/or Control) with a strong component in Data Science/Artificial Intelligence (DSAI) relevant to chemical and biomolecular engineering will be considered.
Candidates in these areas will contribute to the Department of Chemical and Biomolecular Engineering and Johns Hopkins University community and mission to educate tomorrow's leaders in ChemBE and pioneer technological advancements to address critical global challenges in energy, materials design, and precision medicine, to build a stronger, cleaner, and healthier future.
Candidates in the Systems/Data Science/Artificial Intelligence area will perform original research at the interface between chemical engineering modeling/scientific computation and modern Data Science and Machine Learning. Possible efforts include but are not limited to modern design and optimization (e.g. in the role of AI in the transition from automated to autonomous process operations). Creative uses of DSAI in materials/chemicals/process discovery/design, or towards novel computational approaches to atomistic simulations or biological systems modeling are of direct interest.
The Department of Chemical and Biomolecular Engineering is highly collaborative with an established track record of national leadership and developing new disciplines within chemical and biomolecular engineering. The Department has large, vibrant educational programs at the undergraduate, master's, and Ph.D. levels as well as post-doctoral level.
This past year, Johns Hopkins announced a major new investment in Data Science and the exploration of Artificial Intelligence that will be included in a new data science and translation institute, a new state-of-the-art facility and recruitment of 110 new faculty over the next five years. The institute will bring together world-class experts in artificial intelligence, machine learning, applied mathematics, computer engineering, and computer science to fuel data-driven discovery in support of research activities across the institution including within the Chemical and Biomolecular Engineering department.
In addition to its role in this initiative, the department is a leader in other major research centers and institutes at Johns Hopkins, including the Ralph O'Connor Sustainable Energy Institute (ROSEI), the Institute for Nanobiotechnology (INBT), the Advanced Mammalian Biomanufacturing Innovation Center (AMBIC), International Biomanufacturing Network (IBIoNe) MINDS (Mathematical Institute for Data Science), the Maryland Area Research Computing Center (MARCC), the Hopkins Extreme Materials Institute (HEMI). Faculty also collaborate frequently with scholars in the Johns Hopkins School of Medicine, Applied Physics Laboratory, Bloomberg School of Public Health, and the Krieger School of Arts and Sciences.
Applicants should have a Ph.D. in chemical and biomolecular engineering or a related field, a track record of outstanding research, and a commitment to excellence in education and student mentoring.
The expected base pay range for this position at a rank of Assistant Professor is $150,000-$200,000.
The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the WSE/ChemBE faculty compensation program or pay from participation in WSE/ChemBE incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.
Priority given to applications received before 12/31/2025.
Application Instructions
Interested candidates should submit a cover letter, CV, references, and research and teaching statements.

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