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Symbolic Systems Jobs (NOW HIRING)

Amazon

Senior Applied Scientist, AWS Quick

Santa Clara, CA · On-site

$107K - $146K/yr

Design and implement scalable, production-grade neuro-symbolic systems that integrate formal reasoning with GenAI to deliver reliable, verifiable outcomes for AWS customers. * Collaborate cross ...

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$10

$32

$83

How much do symbolic systems jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for symbolic systems in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.22 per hour, depending on experience, location, and employer.

What is a Symbolic Systems job?

A Symbolic Systems job typically involves roles that integrate computer science, cognitive science, linguistics, philosophy, and psychology to analyze human and artificial intelligence. Professionals in this field work in areas like artificial intelligence, human-computer interaction, data science, and software development. They apply computational methods to solve problems related to language understanding, decision-making, and cognitive modeling. Many work in tech companies, research institutions, or startups, focusing on designing intelligent systems, improving user experience, or developing machine learning models.

What do symbolic systems majors do?

Symbolic systems majors often work in fields such as artificial intelligence, cognitive science, data analysis, and human-computer interaction. They apply skills in logic, programming, linguistics, and psychology to develop algorithms, analyze complex data, or design user interfaces. These roles may involve programming languages like Python or Java and often require strong analytical and problem-solving abilities.

What are the key skills and qualifications needed to thrive in the Symbolic Systems position, and why are they important?

To excel in a Symbolic Systems role, you need interdisciplinary expertise in computer science, cognitive science, psychology, and linguistics, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages (like Python or Java), data analysis tools, and experience with systems modeling or AI frameworks are commonly required. Strong analytical thinking, problem-solving capabilities, and collaborative communication set candidates apart. These skills are vital for effectively designing and optimizing human-computer interactions, developing intelligent systems, and interpreting complex data in multidisciplinary environments.

What kinds of projects do Symbolic Systems professionals typically work on?

Symbolic Systems professionals frequently tackle projects that bridge technology and human cognition, such as designing intuitive user interfaces, developing AI-driven language models, or creating data visualization tools. Daily tasks often involve analyzing user behavior, modeling cognitive processes, and collaborating with engineers, designers, and researchers to refine interactive systems. The work environment is typically multidisciplinary, encouraging knowledge sharing and innovation across fields. Successfully navigating these projects requires adapting to new technologies and maintaining a holistic view of how humans interact with complex systems, making the role engaging and dynamic.

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Symbolic Systems jobs near you
Infographic showing various Symbolic Systems job openings in the United States as of July 2026, with employment types broken down into 28% Locum Tenens, 36% Full Time, 26% Part Time, 1% Contract, and 9% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $67,988 per year, or $32.7 per hour.

Senior Neuro-Symbolic Systems Engineer -- AI at Scale (San Francisco)

Acceler8 Talent

San Francisco, CA • On-site

$200K - $300K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading AI company based in San Francisco is seeking a Senior Neuro-Symbolic Systems Engineer to enhance AI systems interacting with the physical world. Candidates will design and implement complex representations, work with cross-functional teams, and bridge symbolic AI with ML techniques. The role offers a competitive salary between $200,000 and $300,000, innovative work impacting various scientific fields, and the chance to build something from the ground up in a venture-backed environment.
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