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Deep Learning Research Intern Jobs in Nevada (NOW HIRING)

ADL

Fall Desert Intern

Las Vegas, NV · On-site

$15/hr

Projects involve incident response, program administration, research, report and correspondence ... Desert Region intern will assist in program planning and implementation of Rising Above Together ...

Scout Solutions

Part-Time Intern

Las Vegas, NV · On-site +1

$14.25 - $19/hr

Intern's Needed Las Vegas, Nevada Zeneth Part-Time Company Description Zeneth Technology Partners ... We are seeking an Entry-Level Market Intelligence Research Analyst to join our Business Development ...

Reli Group Inc

Power BI Intern

Sparks, NV · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Reli Group Inc

Power BI Intern

Carson City, NV · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Reli Group Inc

Power BI Intern

Henderson, NV · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

Reli Group Inc

Power BI Intern

Las Vegas, NV · On-site

$15/hr

Our team of over 500 professionals brings deep expertise and a shared commitment to delivering ... The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ...

ADL

Fall Desert Intern

Las Vegas, NV

$13.75 - $18.25/hr

... research, database management, assisting with meeting and event planning, community outreach and ... The Regional Operations Intern will work directly with Regional Staff on projects relating to ...

Adl

Fall Desert Intern

Las Vegas, NV · On-site

$13.75 - $18.25/hr

... research, database management, assisting with meeting and event planning, community outreach and ... The Regional Operations Intern will work directly with Regional Staff on projects relating to ...

Anti-Defamation League

Fall Desert Intern

Las Vegas, NV · On-site

$13.75 - $18.25/hr

... research, database management, assisting with meeting and event planning, community outreach and ... The Regional Operations Intern will work directly with Regional Staff on projects relating to ...

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How much do deep learning research intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for deep learning research intern in Nevada is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning research intern?

To thrive as a Deep Learning Research Intern, you need a strong grasp of machine learning fundamentals, programming skills (especially in Python), and a background in mathematics or computer science, often supported by relevant coursework or research experience. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and proficiency in using data processing and visualization tools are typically expected. Creativity, problem-solving abilities, and effective communication help interns contribute novel ideas and collaborate within research teams. These skills are vital for developing, testing, and presenting cutting-edge AI models and solutions in a fast-evolving field.

What does a deep learning research intern do?

A Deep Learning Research Intern assists in the development and experimentation of machine learning models, particularly neural networks, to solve complex problems in fields like computer vision, natural language processing, or robotics. They typically work under the guidance of experienced researchers, contributing to tasks such as data preprocessing, model training, and result analysis. Interns may also help implement and optimize algorithms, read and summarize research papers, and prepare reports or presentations on their findings. This role provides hands-on experience with state-of-the-art AI technologies and research methodologies.

What are some common challenges faced by deep learning research interns, and how can they overcome them?

Deep Learning Research Interns often encounter challenges such as managing complex datasets, tuning neural network architectures, and keeping up with the latest research developments. It's common to spend significant time troubleshooting code or optimizing models for better performance. Collaborating closely with mentors and team members, actively participating in research discussions, and consistently reading recent papers can help interns overcome these hurdles. Utilizing open-source tools and frameworks, along with clear documentation practices, also streamlines the research process.

What are the most commonly searched types of Deep Learning Research jobs in Nevada?

The most popular types of Deep Learning Research jobs in Nevada are:

What cities in Nevada are hiring for Deep Learning Research Intern jobs?

Cities in Nevada with the most Deep Learning Research Intern job openings:

Deep Learning Research Intern jobs near you

Vice President II, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV • On-site

Full-time

Re-posted 16 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.