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Research Cognitive Ai Jobs (NOW HIRING)

Vanguard Group, Inc.

Senior AI/ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

Some of the team's areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture. Core Responsibilities: * Conduct advanced research in AI domains, such as ...

Vanguard Group

Senior AI/ML Engineer

Malvern, PA · On-site

$102K - $140K/yr

Some of the team's areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture. Core Responsibilities: * Conduct advanced research in AI domains, such as ...

Vangard, Inc.

Senior AI/ML Engineer

Malvern, PA

$102K - $140K/yr

Some of the team's areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture. Core Responsibilities: * Conduct advanced research in AI domains, such as ...

Vanguard

Senior AI/ML Engineer

Malvern, PA

$102K - $140K/yr

Some of the team's areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture. Core Responsibilities: * Conduct advanced research in AI domains, such as ...

Vangard, Inc.

Principal AI/ML Engineer

Malvern, PA · On-site

Some of the team's areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture. Core Responsibilities * Leads complex model development and deployment pipelines.

Virtusa

AI Solution Lead

Jersey City, NJ · Hybrid

You'll work alongside Virtusa's data, product, and cloud experts to bring cutting-edge AI research ... mobile; cognitive/AI; full stack engineering, microservices, IoT; and cloud services. For more ...

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Research Cognitive Ai information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand for expertise in developing and deploying cutting-edge AI solutions.

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 cognitive AI researcher?

To become a cognitive AI researcher, typically a strong background in computer science, cognitive science, or related fields is required, often including a master's or Ph.D. degree. Skills in machine learning, programming (such as Python), and familiarity with AI frameworks are essential, along with experience in research methods and scientific communication.

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 is the salary of cognitive AI researcher?

The salary of a cognitive AI researcher typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and neural networks may earn higher compensation, often supplemented with benefits and research funding.

How much does Cognition AI pay?

Salaries for Research Cognitive AI roles typically range from $80,000 to $130,000 annually, depending on experience, education, and location. Compensation may also include benefits such as bonuses, stock options, and professional development opportunities.

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

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.
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Research Cognitive Ai jobs near you
Infographic showing various Research Cognitive Ai job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 79% In-person, and 21% Remote job distribution.
Senior AI/ML Engineer

Senior AI/ML Engineer

Vanguard Group, Inc.

Malvern, PA • On-site

$102K - $140K/yr

Full-time

Posted 27 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description

Lead with purpose and keep growing. See your future here.
Vanguard's Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cutting-edge concepts into the Vanguard AI ecosystem, establishing strategic AI partnerships, and building enterprise-level AI capabilities to empower Vanguard clients with advanced AI research and technology. The team aims to ultimately accelerate critical business solutions with AI capabilities. Some of the team's areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture.
Core Responsibilities:
  • Conduct advanced research in AI domains, such as Generative AI, Agentic AI, Cognitive AI architectures, call transcription, and large language models; Drive the development of new algorithms, models and techniques that push the boundaries of AI technology.
  • Work closely with engineering teams to transition research findings into scalable, production-ready solutions; Develop prototypes and proof of concept systems that demonstrate the applicability of research findings to business problems.
  • Publish research in top-tier AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL); Present findings at conferences, workshops, and internal forums to showcase advancements and foster knowledge sharing.
  • Mentor junior scientists and engineers in conducting high-quality research and writing impactful publications; Provide technical guidance and support to ensure research aligns with both academic and business goals.
  • Partner with cross-functional teams to align research priorities with business needs; Work closely with product and engineering teams to design AI solutions that are both innovative and practical
  • Ensure all research and solutions adhere to responsible AI principles, prioritizing safety.

Qualifications:
  • Advanced degree (Post Doctorate or PhD or Master's in Computer Science, AI, Data Science or related field)
  • At 5+ years of relevant work experience
  • Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive architectures
  • Familiarity with Responsible AI practices and frameworks
  • Consistent publication record in top tier conferences and journals with high H-index is a plus.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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