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Research Cognitive Ai Jobs (NOW HIRING)

NorthEastern

Research Scientist

Burlington, MA · On-site

... cognitive and distributed sensing, and machine learning systems, among others. Successful ... Preferred * Master's degree with a focus on ML/AI, dataintensive systems, network science ...

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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.
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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.

AI Research Scientist, Adaptive Behavior Systems

Toyota Research Institute

Los Altos, CA • On-site

$176K - $253K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
The Team
TRI's Adaptive Behavior Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.
The Opportunity
We are looking for an AI Research Scientist or Senior AI Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation, and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.
Responsibilities
  • Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI.
  • Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior.
  • Collaborate cross-functionally with researchers in multiple fields, as well as university partners.
  • Stay up to date on the state-of-the-art in machine learning theories, methods and tooling.
  • Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders.
  • Publish research findings in academic journals and/or conferences.
  • Contribute to technology transfer of research insights and prototypes throughout Toyota.

Qualifications
  • PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus.
  • A strong publication record in ML, NLP, deep learning, or related fields.
  • Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature.
  • Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems.
  • Proficiency in Python and modern deep learning frameworks such as Pytorch or Tensorflow
  • Ability to work collaboratively across disciplines and functions.
  • Ability to balance multiple projects, including short-term and those that may span several years.
  • Strong project management skills and desire to work on cutting-edge open-ended research projects.
  • Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end.
  • Demonstrated ability to work autonomously while soliciting feedback.
  • Strong interpersonal skills. Great teammate.

Bonus Qualifications
  • Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing.
  • Previous experience in human modeling (both cognitive and behavioral) with generative AI.
  • Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science).

Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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