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Intern Computer Vision Deep Learning Engineer Jobs in Nevada

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or ... Stock Options * 100% paid Medical, Dental, and Vision insurance for Employees * Company Health ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or ... Stock Options * 100% paid Medical, Dental, and Vision insurance for Employees * Company Health ...

Nevada Cement

Intern

Fernley, NV · On-site

$15.75 - $21/hr

... Engineer. The opportunity will last up to 90 days and would ideally be 30 hours per week. This opportunity will be onsite with on the job learning. Qualifications for Intern * At a minimum, the ...

Nevada Cement

Intern

Fernley, NV · On-site

$15.75 - $21/hr

... Engineer. The opportunity will last up to 90 days and would ideally be 30 hours per week. This opportunity will be onsite with on the job learning. Qualifications for Intern * At a minimum, the ...

Varsity Tutors

Machine Learning Tutor

North Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Henderson, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Nevada

Intern Computer Vision Deep Learning Engineer information

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Nevada?

For Intern Computer Vision Deep Learning Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Nevada look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Nevada are:

What cities in Nevada are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities in Nevada with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV • On-site

$97K - $128K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. They are seeking a Lead Artificial Intelligence Engineer to develop and produce AI and machine learning solutions that support banking and credit card businesses, focusing on building scalable, explainable, and compliant AI models for various applications.
Responsibilities:
• Develop, train, and optimize ML, deep learning, and Generative AI models.
• Implement data pipelines, feature engineering, and model inference services.
• Deploy and monitor models using enterprise MLOps practices.
• Support model explainability, bias analysis, and regulatory documentation.
• Collaborate with data engineers, risk, and compliance teams.
Qualifications:
Required:
• Develop, train, and optimize ML, deep learning, and Generative AI models.
• Implement data pipelines, feature engineering, and model inference services.
• Deploy and monitor models using enterprise MLOps practices.
• Support model explainability, bias analysis, and regulatory documentation.
• Collaborate with data engineers, risk, and compliance teams.
• 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: 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.
Preferred:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3–7 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.

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