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Computational Intelligence Jobs (NOW HIRING)

AI Solutions Architect

Menlo Park, CA · On-site

$228.94K - $231.60K/yr

... in AI; (7) Computational intelligence and non-convex optimization techniques; (8) Time-series Analysis techniques with Statistics and AI; (9) Applied and mathematics statistics; (10) Cloud ...

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... Own computational theoretical chemistry programs across therapeutic modalities, disease targets ...

Much of Kitware's work involves applying state-of-the-art computational imaging and artificial intelligence approaches to dynamic, real-world problems. You will have the opportunity to contribute ...

Computational Protein Designer

San Francisco, CA · On-site

$24.25 - $29.50/hr

This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise ...

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... Own computational chemistry programs across therapeutic modalities, disease targets, and ...

$109.30K - $164K/yr

POSITION SPECIFICS We are seeking highly motivated Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research ...

Computational Imaging Researcher

Minneapolis, MN

$116.40K - $137.30K/yr

Much of Kitware's work involves applying state-of-the-art computational imaging and artificial intelligence approaches to dynamic, real-world problems. You will have the opportunity to contribute ...

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... Own computational chemistry programs across therapeutic modalities, disease targets, and ...

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... Own computational theoretical chemistry programs across therapeutic modalities, disease targets ...

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Computational Intelligence information

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$11K

$100.6K

$133K

How much do computational intelligence jobs pay per year?

As of May 30, 2026, the average yearly pay for computational intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Intelligence Specialist, and why are they important?

A Computational Intelligence Specialist typically requires strong expertise in mathematics, programming (often Python or MATLAB), and a solid background in areas like machine learning, neural networks, and evolutionary algorithms, usually supported by a degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, MATLAB, and data processing platforms is essential, along with relevant certifications or specialized coursework. Analytical thinking, creativity, and effective problem-solving abilities help professionals excel in developing innovative solutions and collaborating with multidisciplinary teams. These skills are vital for designing intelligent systems that can tackle complex, real-world problems efficiently and accurately.

What are some common challenges faced by professionals working in Computational Intelligence, and how can they be addressed?

Professionals in Computational Intelligence often encounter challenges such as handling large and complex datasets, ensuring the interpretability of models, and keeping up with rapid advancements in algorithms and technology. Addressing these requires strong collaboration with domain experts, continuous learning through research and professional development, and applying best practices in data management and model validation. Effective teamwork and clear communication are essential, as projects frequently involve cross-functional teams including data scientists, engineers, and stakeholders from various disciplines.

What is computational intelligence?

Computational intelligence is a field of artificial intelligence that focuses on developing algorithms and systems that can learn, adapt, and solve complex problems without explicit human programming. It typically includes techniques such as neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. These methods are inspired by natural processes and are used in various applications like pattern recognition, optimization, and data analysis. Computational intelligence is widely used in industries ranging from finance to robotics.

What is the difference between Computational Intelligence vs Data Scientist?

AspectComputational IntelligenceData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning, neural networksDegree in Statistics, Computer Science, or related fields; expertise in data analysis, programming
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, analytics teams, tech companies
Industry UsageAI research, pattern recognition, optimization problemsData analysis, predictive modeling, business insights

Computational Intelligence focuses on developing algorithms that mimic human decision-making and problem-solving, often in research or AI development settings. Data Scientists analyze large datasets to extract actionable insights for business decisions. While both roles require programming and analytical skills, Computational Intelligence emphasizes AI algorithm creation, whereas Data Scientists focus on data analysis and visualization.

More about Computational Intelligence jobs

Computational Chemist/Material Scientist - Metal Alloys

Radical AI

New York, NY • On-site

Full-time

Posted 16 days ago


Job description

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.
The Opportunity
As a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.
About you
  • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject.
  • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems.
  • Understanding of the fundamental mechanics of metals and how to model them computationally.
  • Experience running high-throughput DFT.
  • Experience with interatomic potentials.
  • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request).
  • Experience coding in Python or other similar languages.

Pluses
  • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs.
  • Prior experience in transitioning AI + computational research into production environments.
  • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.).
  • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS).
  • Experience with metal additive manufacturing techniques.

Salary Description
Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.
Disclosure
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.