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Internship Research Assistant Machine Learning Jobs in Nevada

Cornerstone Research

Summer Analyst

Las Vegas, NV · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

Cornerstone Research

Summer Analyst

Henderson, NV · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

Deloitte

Cyber - SecOps - Consultant

Las Vegas, NV

... assistants, computer vision, cognitive services, and big data tools used to manage large datasets * Experience applying artificial intelligence (AI), machine learning (ML), and advanced data ...

Cornerstone Research

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

New

Cornerstone Research

Summer Analyst

Carson City, NV · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

Cornerstone Research

Summer Analyst

Sparks, NV · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

Cornerstone Research

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

New

Cornerstone Research

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

New

Cornerstone Research

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... What does case work at Cornerstone Research look like? Throughout your internship, you will be ...

New

Motorola

Director of Computer Vision

Las Vegas, NV · On-site

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Foundational Research Strategy: Define the long-term research agenda for fundamental computer ...

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Internship Research Assistant Machine Learning information

What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

What are popular job titles related to Internship Research Assistant Machine Learning jobs in Nevada? For Internship Research Assistant Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Nevada look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Internship Research Assistant Machine Learning jobs? Cities in Nevada with the most Internship Research Assistant Machine Learning job openings:
Internship Research Assistant Machine Learning jobs near you
Infographic showing various Internship Research Assistant Machine Learning job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Vice President II, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV

Full-time

Re-posted 14 days ago

Job description

Position Summary 

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
  • Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
  • Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
  • Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
  • Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
  • Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
  • Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
  • Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
  • Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
  • Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
  • Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
  • Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
  • Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
  • Perform other duties as assigned.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
  • Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
  • Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
  • Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
  • Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
  • Proven ability to lead and inspire diverse technical teams.
  • Ability to drive outcomes, influence strategic decisions, and deliver business value.
  • Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
PreferredCore AI Concepts and Technologies RequiredMachine 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
  • 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
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.  
 

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