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Internship Edge Ai Machine Learning Jobs in Nevada

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

Build, deploy, and optimize AI and machine learning pipelines using Google Cloud Platform services such as Vertex AI, BigQuery, and Cloud Functions. Integrate AI agents with CI/CD pipelines, test ...

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

AI Solutions Software Developer

Henderson, NV

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply broad knowledge of leading-edge information technologies, data engineering, machine learning, cloud platforms, and software development practices to analyze complex datasets, integrate AI ...

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth.

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth.

Director of Computer Vision

Las Vegas, NV · On-site

  • Medical

  • Dental

  • Retirement

... edge AI-driven analytics for security and operational insights. We are industry leaders in video ... Our AI-powered security solutions integrate advanced video analytics, machine learning, and ...

AI & GenAI Data Scientist-Senior Associate

Las Vegas, NV · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ... Working knowledge of hardware acceleration technologies (CUDA, TensorRT), edge AI deployments, and ...

AI & GenAI Data Scientist-Director

Las Vegas, NV · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

Lead AI and Data Science Engineer II

Las Vegas, NV · On-site

$97K - $128K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Showing results 41-60

Internship Edge Ai Machine Learning information

What is an internship edge AI machine learning?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What are the key skills and qualifications needed to thrive as an internship edge AI machine learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What types of projects can I expect to work on during an internship in edge AI and machine learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Nevada?

The most popular types of Edge Ai Machine Learning jobs in Nevada are:

What are popular job titles related to Internship Edge Ai Machine Learning jobs in Nevada?

For Internship Edge Ai Machine Learning jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Internship Edge Ai Machine Learning jobs?

Cities in Nevada with the most Internship Edge Ai Machine Learning job openings:

Research Scientist Intern (2025)

Whiterabbit.ai

Las Vegas, NV • On-site

Other

Re-posted 24 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity