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Artificial Intelligence Cognitive Science Jobs in Nevada

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 5-8 + years ...

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... science, and technology innovation careers. * Conceptual Teaching & Problem-Solving: Skilled at ...

... artificial intelligence, and anthropological research. * Curriculum Awareness & Adaptive ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Linguistics Tutor

Reno, NV · Remote

$18 - $40/hr

... artificial intelligence, and anthropological research. * Curriculum Awareness & Adaptive ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Linguistics Tutor

Las Vegas, NV · Remote

$18 - $40/hr

... artificial intelligence, and anthropological research. * Curriculum Awareness & Adaptive ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

Linguistics Tutor

Henderson, NV · Remote

$18 - $40/hr

... artificial intelligence, and anthropological research. * Curriculum Awareness & Adaptive ... cognitive science and education. * Effective Teaching Methods: Ability to identify concepts ...

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Artificial Intelligence Cognitive Science information

See Nevada salary details

$11.2K

$104.8K

$135.4K

How much do artificial intelligence cognitive science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence cognitive science in Nevada is $104,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $134,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence cognitive science?

An Artificial Intelligence Cognitive Science job involves studying and developing AI systems that mimic human cognition, such as learning, reasoning, and problem-solving. Professionals in this field combine insights from computer science, psychology, neuroscience, and linguistics to create intelligent systems. They work on machine learning models, natural language processing, and human-computer interaction to enhance AI capabilities. These roles are found in industries like tech, healthcare, robotics, and finance, where cognitive AI improves decision-making and automation.

What are the typical projects and day-to-day responsibilities for someone working in artificial intelligence cognitive science?

Professionals in Artificial Intelligence Cognitive Science often work on projects that involve designing algorithms to simulate cognitive processes, analyzing large sets of behavioral or neural data, and building models that integrate AI with insights from human cognition. Day-to-day responsibilities usually include coding and testing AI models, collaborating with neuroscientists or psychologists, conducting experiments, and reporting on findings. You might also participate in interdisciplinary meetings to align product development with current cognitive research and contribute to academic publications or conferences. This role offers a dynamic and intellectually stimulating environment, with plenty of opportunities to tackle complex problems and influence the future of AI-driven technologies.

What are the key skills and qualifications needed to thrive in artificial intelligence cognitive science, and why are they important?

To thrive in Artificial Intelligence Cognitive Science, a candidate needs a strong background in computer science, cognitive psychology, and machine learning, often supported by advanced degrees in these areas. Familiarity with programming languages such as Python, R, or MATLAB, experience with data analysis tools, and knowledge of AI frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving skills, curiosity, and the ability to communicate complex ideas to both technical and non-technical audiences are highly valued soft skills. These competencies enable professionals to bridge the gap between human cognition and AI, driving innovation and effective collaboration in multidisciplinary teams.

What jobs can I get with artificial intelligence cognitive science?

With a background in artificial intelligence cognitive science, common job roles include AI researcher, machine learning engineer, data scientist, cognitive systems designer, and AI product manager. These roles often require skills in programming, data analysis, and understanding human cognition, and may involve working with tools like Python, TensorFlow, or neural networks in research labs, tech companies, or healthcare settings.

What are popular job titles related to Artificial Intelligence Cognitive Science jobs in Nevada?

For Artificial Intelligence Cognitive Science jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Cognitive Science jobs in Nevada look for?

The top searched job categories for Artificial Intelligence Cognitive Science jobs in Nevada are:

What cities in Nevada are hiring for Artificial Intelligence Cognitive Science jobs?

Cities in Nevada with the most Artificial Intelligence Cognitive Science job openings:

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. The Assistant Vice President of Artificial Intelligence is responsible for leading the delivery and execution of AI and machine learning capabilities within a regulated banking environment, focusing on fraud prevention, credit risk management, and customer experience personalization.
Responsibilities:
• Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
• Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
• Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
• Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
• Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
• Oversee model validation, explainability, bias testing, and audit readiness.
• Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
Qualifications:
Required:
• Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
• Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
• Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
• Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
• Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
• Oversee model validation, explainability, bias testing, and audit readiness.
• Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
• Machine Learning & Modeling: Supervised, unsupervised, reinforcement learning; Deep learning (CNNs, RNNs, Transformers); Natural Language Processing (NLP) & LLMs; Generative AI (diffusion models, fine-tuning, RAG); AI Engineering & MLOps.
• AI Engineering & MLOps: Model training, deployment, monitoring, and retraining; Feature stores, vector databases, and model registries; CI/CD pipelines for ML (MLOps); GPU/accelerator compute architectures.
• Cloud & Infrastructure: Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI; Kubernetes, containerization, microservices; Data platforms (Databricks, Snowflake, Synapse).
• Responsible AI & Governance: Model explainability (SHAP, LIME); Fairness, bias detection, model risk controls; Privacy-preserving ML techniques (differential privacy, federated learning).
• Programming & Tooling: Python, PyTorch, TensorFlow, JAX; LangChain, semantic search, vector embeddings; Prompt engineering & LLM orchestration frameworks.
• Excellent communication, problem-solving, and project management skills.
• Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
• Demonstrate company core values of excellence, ownership, collaboration, and integrity.
Preferred:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 5-8 + years of experience in AI/ML or data science.
• Experience working with large-scale financial or transactional data is preferred.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.