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Research Cognitive Ai Jobs (NOW HIRING)

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Research Cognitive Ai information

What is the difference between Research Cognitive Ai vs Data Scientist?

AspectResearch Cognitive AiData Scientist
Required CredentialsMaster's or PhD in AI, Cognitive Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or Computer Science
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageDeveloping AI models, cognitive computing, research projectsAnalyzing data, building predictive models, data visualization
Search & Comparison IntentUnderstanding research roles in AI developmentApplying data analysis skills in industry

Research Cognitive Ai professionals focus on developing and advancing AI models with a cognitive approach, often working in research settings. Data Scientists analyze and interpret data to inform business decisions, typically working in industry. While both roles require strong analytical skills, Research Cognitive Ai emphasizes research and innovation in AI, whereas Data Scientists focus on practical data application.

How to become a research cognitive AI researcher?

To become a research cognitive AI researcher, typically a strong background in computer science, cognitive science, or related fields is required, along with expertise in machine learning, neural networks, and programming languages like Python. Advanced degrees such as a master's or Ph.D. are often necessary for research roles, and experience with AI frameworks like TensorFlow or PyTorch is beneficial. Developing a strong research portfolio through publications, projects, or collaborations can also enhance prospects in this field.

What are some common challenges faced by professionals in a Research Cognitive AI role, and how can they be addressed?

Professionals in Research Cognitive AI often encounter challenges such as managing large, complex datasets, staying updated with rapidly evolving AI technologies, and translating theoretical models into practical applications. Collaborating closely with interdisciplinary teams—such as data scientists, software engineers, and domain experts—can help address these issues by combining diverse expertise. Additionally, regularly attending conferences, participating in research communities, and engaging in continuous learning are essential strategies for overcoming these challenges and maintaining a competitive edge in the field.

What are the key skills and qualifications needed to thrive as a Research Cognitive AI specialist?

To thrive as a Research Cognitive AI specialist, you need a strong background in computer science, machine learning, and cognitive science, often supported by an advanced degree such as a PhD. Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with large-scale data analysis tools are essential. Strong analytical thinking, creativity, and effective communication skills help you stand out when designing novel AI models and collaborating with interdisciplinary teams. These competencies are vital for advancing AI research, solving complex problems, and translating findings into impactful solutions.

What is a Research Cognitive AI professional?

A Research Cognitive AI professional is someone who studies and develops artificial intelligence systems that mimic human cognitive processes, such as learning, reasoning, perception, and decision-making. These experts work on advancing AI algorithms and models to enable machines to understand and interact with the world in more human-like ways. Their work often involves interdisciplinary knowledge from computer science, neuroscience, psychology, and linguistics. Research Cognitive AI professionals may work in academic, corporate, or research lab settings, contributing to breakthroughs in areas such as natural language processing, machine learning, and robotics.
More about Research Cognitive Ai jobs
What cities are hiring for Research Cognitive Ai jobs? Cities with the most Research Cognitive Ai job openings:
What states have the most Research Cognitive Ai jobs? States with the most job openings for Research Cognitive Ai jobs include:
Infographic showing various Research Cognitive Ai job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer - Advanced AI and Cognitive Systems

PVH (Tommy Hilfiger/Calvin Klein)

Calabasas, CA • On-site

$140.70 - $175.95/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

HRL Laboratories pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned jointly by Boeing and GM, HRL prioritizes purpose over profit, significantly advancing the state of the art.


HRL Laboratories develops robust intelligent systems that deliver adaptable, autonomous performance improvement solutions for complex missions. Our teams advance human-machine synergy, operationalized machine learning models and complex systems analytics and agents to create scalable, secure technologies. We design novel algorithms and mission-ready solutions that strengthen decision making for autonomous and human-guided systems across national security and commercial applications.


Position Summary:

Join a research team advancing next generation intelligent systems. This role focuses on machine learning, multimodal AI, cognitive state sensing, and cognitive modeling. You will help develop adaptive software prototypes for mission driven R&D programs.


Essential Duties:

Lead and contribute to research, engineering, and software development efforts in the following areas:



  • Build AI models that integrate neurophysiological, behavioral, and sensor data for cognitive aware decision support

  • Develop algorithms for cognitive state estimation and user modeling

  • Apply cognitive science to improve explainability, trust, and human AI collaboration

  • Contribute to proposals, publications, invention disclosures, and customer briefings

  • Demonstrate prototypes and support capability outreach


Required Qualifications:

Candidates should have experience in one or more of the following areas:



  • Human Machine Interaction: Cognitive architectures, neurophysiological sensing, behavioral analytics, human subjects methods

  • Cognitive Modeling: Cognitive state estimation and computational models.

  • LLMs & Multimodal AI: Transformers, prompt design, fine tuning, RAG, with emphasis on integrating human state and environmental context.

  • Software Engineering: Scalable systems, APIs, Docker, and containerized environments (Docker, Kubernetes).

  • Machine Learning & AI: Supervised/unsupervised learning, RL; PyTorch/TensorFlow/JAX.

  • Data Analytics: Feature engineering, statistical modeling in Python.

  • MS or Ph.D. in Applied Math, Cognitive Science, or related fields.

  • 3-5 years of applied ML/AI experience.

  • Experience with government funded R&D programs (DARPA/IARPA/ARPA H) is a plus.

  • Strong interdisciplinary communication and collaboration skills.

  • Ability to work in fast paced, exploratory research environments.

  • Curiosity driven mindset with a passion for solving complex problems.


Special Requirements:

  • U.S. Citizenship with the ability to obtain and maintain a U.S. Government Security Clearance


Compensation and Benefits:

  • Pay Range: $140,700 - $175,950

  • Our salary ranges are determined by role, level, and location (California). The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process.

  • Benefits: HRL offers a generous and very competitive total compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and challenging work environment.

  • For more information about our company benefit offerings please visit: https://www.hrl.com/careers/benefits


Non-Discrimination and Equal Employment Opportunities (U.S.):

We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug‑free workplace and perform pre‑employment substance abuse testing.


If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants | U.S. Equal Employment Opportunity Commission


For our privacy policy please visit: w

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