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Symbolic Systems Jobs (NOW HIRING)

Intuit

Senior Staff AI Research Scientist

Mountain View, CA

$116K - $148K/yr

Conduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM ...

Caltech

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning * Perform other related duties as assigned Basic ...

Intuit

Senior Staff AI Research Scientist

Mountain View, CA

$116K - $148K/yr

Conduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM ...

Intuit

Senior Staff AI Research Scientist

Mountain View, CA · On-site

$116K - $148K/yr

Conduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM ...

Peraton

Lead System Integrator (LSI)

Red Bank, NJ · On-site

$112K - $179K/yr

Must have professional software engineering experience with at least 3 years in a systems ... based testing, or symbolic regression tools such as PySR) * MS or PhD in Computer Science ...

Lee College

Adjunct - Engineering Instructor

Baytown, TX · On-site

$34.03 - $51.04/hr

... symbolic algebra packages, engineering analysis software (C++/AutoCAD), laboratory control software * Prior online teaching experience and certification * Blackboard Learning Management System ...

AnaVation LLC

Sr. Cyber Engineer (AI)

Chantilly, VA

Lead research and development of automated systems for reverse engineering, including static, dynamic, and symbolic analysis workflows. * Create tools to analyze compiled code, firmware, protocols ...

Imsaz

Certified Coder - Cardiology

Avondale, AZ · On-site

$22.25 - $30.50/hr

Enters alpha, numeric or symbolic data from source documents into Practice Management (PM) System for patient billing purposes using knowledge of CPT and ICD-10 codes * Determines the appropriate ...

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA

Lead research and development of automated systems for reverse engineering, including static, dynamic, and symbolic analysis workflows. * Create tools to analyze compiled code, firmware, protocols ...

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How much do symbolic systems jobs pay per hour?

As of Jun 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 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

Machine Learning Scientist I/II, Scientific Reasoning

Lila Sciences

Cambridge, MA

Other

Posted 11 days ago

Job description

Your Impact at LILA

As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You'll design novel frameworks that push the boundaries of LLM-based reasoning methods - while also implementing scalable frameworks that integrate with Lila's platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized.

What You'll Be Building

  • Design and formalize frameworks for scientific reasoning with LLMs, including structured prompting, reasoning chains, and test-time compute.
  • Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows.
  • Build scalable model prototypes that can be deployed to solve frontier scientific problems.
  • Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches.

What You'll Need to Succeed

  • PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields.
  • Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex, and related toolkits).
  • Expertise in LLM reasoning methods: in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning.
  • Ability to balance theoretical research with practical ML engineering to deliver scalable solutions.

Bonus Points For

  • Research experience in causal reasoning, symbolic AI, or probabilistic programming.
  • Contributions to open-source LLM reasoning frameworks.
  • Familiarity with scientific discovery pipelines in chemistry, biology, or materials science.
  • Experience with multimodal reasoning (e.g., combining text, image, and experimental data).
  • Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL).

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