artificial intelligence intern

The Institute for Advanced Learning and Research

<div><div><div><b>ABOUT THE INTERNSHIP</b><br>
Interested in Artificial Intelligence (AI), Machine Learning (ML), and emerging technologies that are shaping the future of manufacturing? Join the Institute for Advanced Learning and Research (IALR) for a summer internship within the Manufacturing Advancement division. This internship places you at the cutting edge of innovation, supporting efforts to integrate AI, ML, and Augmented/Virtual Reality (AR/VR) into programs that strengthen manufacturing capabilities across Southern Virginia. Candidates from STEM, business, manufacturing, and computer science backgrounds are encouraged to apply. <i>This position requires eligibility to access controlled unclassified information (CUI) and export controlled data, and candidates must meet applicable federal requirements, including U.S. person status where required.</i></div></div><div><div><b>
WHAT YOU&rsquo;LL DO</b></div><ul><li>Support the development and integration of AI, ML, and AR/VR technologies into Manufacturing Advancement programs</li><li>Collaborate with mentor and team to establish actionable internship goals</li><li>Assist with projects that advance innovation and technology adoption in regional manufacturing</li><li>Contribute creative ideas and problem-solving approaches to technical challenges</li><li>Handle confidential information with professionalism and discretion</li></ul></div><div><div><b>
WHAT YOU&rsquo;LL LEARN</b></div><ul><li>Practical experience applying AI, ML, and AR/VR technologies in real-world manufacturing contexts</li><li>Insight into innovation, workforce development, and technology acceleration across Southern Virginia</li><li>Professional skills in project planning, collaboration, and strategic analysis</li><li>Hands-on exposure to emerging technologies that are reshaping modern manufacturing</li></ul></div><div><div><b>
PROGRAM DETAILS</b></div><ul><li><b>Duration:</b> 8 weeks</li><li><b>Schedule:</b> Approximately 28 hours per week, up to a maximum of 224 hours</li><li><b>Compensation:</b> $15 per hour / $3,360 total stipend</li><li><b>Location:</b> In-person at IALR (Danville, VA)</li></ul><br>
</div><div><div><b>OTHER DETAILS</b></div><div>
IALR reserves the right to modify and/or cancel the internship program. Modifications may include a shortened timeframe with a pro‑rated adjustment to compensation, alternate assignments, or adjustments to work-site location. Internships are primarily in-person. The IALR Internship Program does not provide local housing or a housing allowance.</div></div><div><div><b>
ELIGIBILITY REQUIREMENTS</b><br>
<ul><li>To be considered for the 2026 IALR Internship Program, applicants must meet ONE of the following criteria:</li><li>Be a high school graduate (may be graduating Spring 2026) with plans to attend college in Fall 2026</li><li>Be a current undergraduate or graduate student</li><li>Be a recent college graduate (within the past 12 months)</li></ul></div></div><div><div><b>
INTERNSHIP TIMELINE</b><br>
<ul><li>Application Deadline: March 20, 2026 at 4:00 PM (EST)</li><li>Candidate Interviews (Microsoft Teams): April 16&ndash;17, 2026</li><li>Intern Selection Notifications: April 30, 2026</li></ul>
Please note: IALR internships are highly competitive, and not all applicants will be invited to interview.</div></div><div><div><b>
MANDATORY PROGRAM DATES</b><br>
<ul><li>Intern Orientation (required for all interns): June 1, 2026 OR June 8, 2026</li><li>Mandatory Internship Luncheon and Final Presentations: July 24, 2026</li></ul></div></div><div><div><b>
TIME COMMITMENT REQUIREMENTS</b><br>
<ul><li>Interns must complete a total of 224 hours by August 10, 2026</li><li>The internship is designed as an 8-week program served in consecutive weeks</li><li>Interns are permitted ONE unpaid week off during the program</li><li>Except for this one week, interns are expected to work continuously</li></ul></div></div><div><div><b>
LETTER OF RECOMMENDATION</b><br>
All applicants must submit ONE letter of recommendation as part of the application process. The letter will be reviewed in addition to application responses. The letter must be received by March 20, 2026.</div></div><div><div><b>
SUBMISSION OPTIONS</b><br>
Letters of recommendation can be provided by email or address. The details are below:
</div></div><div><div>Email:<br>
hr@ialr.org</div></div><div><div>
Mail:<br>
ATTN: HR &ndash; Internship<br>
Institute for Advanced Learning and Research<br>
150 Slayton Avenue<br>
Danville, VA 24540<br>
<br>
<b>LETTER REQUIREMENTS</b><br>
The letter must include:<br>
<ul><li>The reference&rsquo;s relationship to the applicant</li><li>Length of time the reference has known the applicant</li><li>Comments on the applicant&rsquo;s knowledge, skills, and abilities relevant to the internship</li><li>Any concerns that may prevent successful completion of the internship</li></ul></div></div></div>

Artificial Intelligence / Machine Learning Intern

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>FiveRivers Technologies</b> is seeking passionate and driven AI/ML Interns to work alongside our AI team on cutting-edge Artificial Intelligence and Machine Learning projects across multiple industries. This internship provides comprehensive AI/ML training and hands-on exposure to modern real-world AI Engineering.</p><div></div><h4 class="jobSectionHeader"><b><br>
Responsibilities</b></h4><ul><li>
Assist the team in ongoing real-world AI/ML projects.</li></ul><ul><li><p><br>
Undergo rigorous training related to different areas of AI/ML.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
BS graduate or final year student in CS, SE, IT, EE, DS, AI or relevant field.</p></li><li><p><br>
Good Python programming, problem solving and algorithm design skills.</p></li><li><p><br>
Passion and aptitude for the Artificial Intelligence field.</p></li><li><p><br>
Knowledge and experience related to Data Wrangling, Data Analysis and Data Visualization using Pandas, SQL, NumPy and Matplotlib.</p></li><li><p><br>
Knowledge and experience of Machine Learning and Deep Learning using SciKit-Learn, PyTorch, TensorFlow and Huggingface.</p></li><li><p><br>
Fundamental knowledge of Computer Vision and Natural Language Processing problems and techniques, with hands-on experience in at least one.</p></li><li><p><br>
Experience in building Generative AI and LLM based applications.</p></li><li><p><br>
Experience working on Agentic AI, RAG, Vector DBs and MCP using frameworks like LangChain, LangGraph and AutoGen, would be a plus.</p></li><li><p><br>
Experience with AI Engineering and AI project deployment using tools like FastAPI and Docker, would be a plus.</p></li><li><p><br>
Candidates with Final-Year Project, elective courses, online courses and personal projects related to AI and ML would be preferred.</p></li><li><p><br>
Having exposure to the breadth of the AI field and staying up to date with the latest AI advancements.</p></li></ul><div><ul><li><p><br>
Student or recent graduate in Computer Science, IT, Data Science, or related field.</p></li><li><p><br>
Basic knowledge of Python programming.</p></li><li><p><br>
Understanding of simple machine learning concepts is a plus.</p></li><li><p><br>
Willingness to learn and work in a team.</p></li><li><p><br>
Good problem-solving attitude.</p></li></ul></div></div></div></div><p></p>

AI/ML Intern

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>02/16/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Industry</p>
<div><b>IT Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Lahore</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Punjab</b><b>
</b></div></div><div><p>Country</p>
<div><b>Pakistan</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>54000</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p><b>FiveRivers Technologies</b> is seeking passionate and driven AI/ML Interns to work alongside our AI team on cutting-edge Artificial Intelligence and Machine Learning projects across multiple industries. This internship provides comprehensive AI/ML training and hands-on exposure to modern real-world AI Engineering.</p><div></div><p><b><br>
Responsibilities</b></p><ul><li><p><br>
Assist the team in ongoing real-world AI/ML projects.</p></li><li><p><br>
Undergo rigorous training related to different areas of AI/ML.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
BS graduate or final year student in CS, SE, IT, EE, DS, AI or relevant field.</p></li><li><p><br>
Good Python programming, problem solving and algorithm design skills.</p></li><li><p><br>
Passion and aptitude for the Artificial Intelligence field.</p></li><li><p><br>
Knowledge and experience related to Data Wrangling, Data Analysis and Data Visualization using Pandas, SQL, NumPy and Matplotlib.</p></li><li><p><br>
Knowledge and experience of Machine Learning and Deep Learning using SciKit-Learn, PyTorch, TensorFlow and Huggingface.</p></li><li><p><br>
Fundamental knowledge of Computer Vision and Natural Language Processing problems and techniques, with hands-on experience in at least one.</p></li><li><p><br>
Experience in building Generative AI and LLM based applications.</p></li><li><p><br>
Experience working on Agentic AI, RAG, Vector DBs and MCP using frameworks like LangChain, LangGraph and AutoGen, would be a plus.</p></li><li><p><br>
Experience with AI Engineering and AI project deployment using tools like FastAPI and Docker, would be a plus.</p></li><li><p><br>
Candidates with Final-Year Project, elective courses, online courses and personal projects related to AI and ML would be preferred.</p></li><li><p><br>
Having exposure to the breadth of the AI field and staying up to date with the latest AI advancements.</p></li></ul><p></p><div><b><br>
Location:</b> Business Hub, DHA phase 8, Lahore</div></div></div></div><p></p>

AI/ML Intern_02

Ensora Health

<div>
 Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a motivated AI/ML Intern to join Ensora Health&rsquo;s technology team and work on cutting‑edge projects involving Generative AI, AI agents, document analysis, and Retrieval‑Augmented Generation (RAG) systems. Over the course of this 10‑week, full‑time summer internship, you&rsquo;ll gain hands‑on experience building prototypes, exploring emerging technologies, and contributing to real‑world AI solutions that support mental health care technology and our customers.
 <br/>
 <br/>
 <strong>
  Must Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be a current college student in undergrad (junior or senior) or grad school.
  </li>
  <li>
   Close proximity to Orlando, FL.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research &amp; exploration
  </li>
  <ul>
   <li>
    Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex.
   </li>
  </ul>
  <li>
   Prototype development
  </li>
  <ul>
   <li>
    Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems.
   </li>
  </ul>
  <li>
   Data preparation
  </li>
  <ul>
   <li>
    Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases.
   </li>
  </ul>
  <li>
   Testing &amp; quality assurance
  </li>
  <ul>
   <li>
    Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability.
   </li>
  </ul>
  <li>
   Documentation &amp; collaboration
  </li>
  <ul>
   <li>
    Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams.
   </li>
  </ul>
  <li>
   Performance evaluation &amp; reporting
  </li>
  <ul>
   <li>
    Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Examples of projects you may work on during the 10‑week internship:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Developing a functional AI agent prototype to streamline internal workflows and knowledge access.
  </li>
  <li>
   Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval.
  </li>
  <li>
   Implementing a document analysis pipeline to extract structured data from healthcare documents.
  </li>
  <li>
   Delivering prototypes, documentation, and performance reports for assigned AI use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <strong>
  Education &amp; background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python and familiarity with common ML/DL frameworks (e.g., PyTorch, TensorFlow).
  </li>
  <li>
   Basic understanding of LLMs and NLP concepts (tokenization, embeddings, prompts, evaluation).
  </li>
  <li>
   Working knowledge of SQL and data handling (ideally PostgreSQL or similar).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice‑to‑have Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks.
  </li>
  <li>
   Experience with vector databases and RAG patterns.
  </li>
  <li>
   Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mindset &amp; Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques.
  </li>
  <li>
   Comfort working with data, running experiments, and iterating based on results.
  </li>
  <li>
   Ability to document work clearly, collaborate with others, and ask thoughtful questions.
  </li>
  <li>
   Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA).
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information
 <br/>
 <br/>
 While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria.
 <br/>
 <br/>
 The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate&mdash;apply today and let's explore the exciting possibilities together!
 <br/>
 <br/>
 All your information will be kept confidential according to EEO guidelines.
 <br/>
 <br/>
 At
 <strong>
  En
 </strong>
 <strong>
  sora Health
 </strong>
 , Diversity, Equity, Inclusion, and Belonging aren&rsquo;t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do.
 <br/>
 <br/>
 We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community.
 <br/>
 <br/>
 We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status.
 <br/>
 <br/>
 <strong>
  Ensora Health
 </strong>
 is an equal opportunity employer.
</div>


AI/ML Intern - Generative AI & Intelligent Systems

<p></p><div><p>Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.</p><p></p><p><b>
Job Description</b></p><div><div>
We are looking for a motivated AI/ML Intern to join Ensora Health&rsquo;s technology team and work on cutting‑edge projects involving Generative AI, AI agents, document analysis, and Retrieval‑Augmented Generation (RAG) systems. Over the course of this 10‑week, full‑time summer internship, you&rsquo;ll gain hands‑on experience building prototypes, exploring emerging technologies, and contributing to real‑world AI solutions that support mental health care technology and our customers.</div><p></p><h3 class="jobSectionHeader"><b>
Must haves:
</b></h3><ul><li><h3 class="jobSectionHeader"><b>Must be a current college student in undergrad (junior or senior) or grad school.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Close proximity to Orlando, FL.</b></h3></li></ul><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><b>
Research &amp; exploration</b><ul><li>
Investigate state‑of‑the‑art techniques in large language models (LLMs), AI agents, and orchestration frameworks such as LangChain and LlamaIndex.</li></ul></li><li><b>
Prototype development</b><ul><li>
Assist in designing and building proof‑of‑concept models for AI‑driven workflows, document analysis, and knowledge retrieval systems.</li></ul></li><li><b>
Data preparation</b><ul><li>
Clean, preprocess, and structure datasets for model training, fine‑tuning, and evaluation across different AI use cases.</li></ul></li><li><b>
Testing &amp; quality assurance</b><ul><li>
Validate model outputs, perform error analysis, and help define and track quality benchmarks for accuracy, latency, and reliability.</li></ul></li><li><b>
Documentation &amp; collaboration</b><ul><li>
Prepare clear technical documentation for workflows, APIs, and integration steps to support handoffs to engineering and product teams.</li></ul></li><li><b>
Performance evaluation &amp; reporting</b><ul><li>
Benchmark models for accuracy, latency, scalability, and cost; summarize findings and recommendations in concise reports.</li></ul></li></ul><div></div><div><b>
Examples of projects you may work on during the 10‑week internship:</b></div><ul><li>
Developing a functional AI agent prototype to streamline internal workflows and knowledge access.</li><li>
Building a RAG‑based system that uses vector databases for intelligent, context‑aware knowledge retrieval.</li><li>
Implementing a document analysis pipeline to extract structured data from healthcare documents.</li><li>
Delivering prototypes, documentation, and performance reports for assigned AI use cases.</li></ul><h3 class="jobSectionHeader"><b>
What You Bring</b></h3><div><b>
Education &amp; background</b></div><ul><li>
Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, Statistics, Applied Mathematics, Health Informatics, or a related field (or equivalent practical experience).</li></ul><div></div><div><b>
Technical skills</b></div><ul><li>
Proficiency in Python and familiarity with common ML/DL frameworks (e.g., PyTorch, TensorFlow).</li><li>
Basic understanding of LLMs and NLP concepts (tokenization, embeddings, prompts, evaluation).</li><li>
Working knowledge of SQL and data handling (ideally PostgreSQL or similar).</li></ul><div></div><div><b>
Nice‑to‑have experience</b></div><ul><li>
Exposure to LangChain, LlamaIndex, or other AI orchestration frameworks.</li><li>
Experience with vector databases and RAG patterns.</li><li>
Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI.</li></ul><div></div><div><b>
Mindset &amp; soft skills</b></div><ul><li>
Strong curiosity about AI/ML and enthusiasm for experimenting with new tools and techniques.</li><li>
Comfort working with data, running experiments, and iterating based on results.</li><li>
Ability to document work clearly, collaborate with others, and ask thoughtful questions.</li><li>
Interest in healthcare data workflows and learning about compliance considerations (e.g., HIPAA).</li></ul></div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><p></p><div><p>
While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria.</p><p></p><p>
The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate&mdash;apply today and let's explore the exciting possibilities together!</p><p></p><p>
All your information will be kept confidential according to EEO guidelines.</p><p></p><p>
At <b>En</b><b>sora Health</b>, Diversity, Equity, Inclusion, and Belonging aren&rsquo;t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do.</p><p></p><p>
We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community.
</p><p>We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status.</p><p></p><p><b>
Ensora Health</b> is an equal opportunity employer.</p></div></div><p></p>

Micron Technology

<div><p><b>Our vision is to transform how the world uses information to enrich life for </b><b><i>all</i></b><b>.
</b></p><p>Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.</p><p></p><p>
Micron is not just a place to work; it's a place to grow, innovate, and compose a lasting impact. At Micron, we deeply believe in the power of collaboration and inclusion. Our team members compete on a global scale, delivering flawless results through determination and a shared vision for excellence. Be part of our journey and help us continue to lead the way in semiconductor technology.</p><p></p><p>
Are you ready to begin a transformative journey? At Micron, we offer an outstanding opportunity to join a dedicated team as an Intern &ndash; AI/ML Engineer. This role goes beyond joining a company; you will immerse yourself in a world-class environment where your work can develop the future of NAND Flash build.</p><p></p><p>
If you are prepared to embrace this exciting challenge and help drive Micron&rsquo;s success, we want to hear from you. Apply today and join our ambitious team, where your skills and ideas will be appreciated and encouraged.</p><p></p><p>
Responsibilities:</p><ul><li>
Apply machine learning and AI-based automation techniques to solve complex problems in NAND Flash development.</li><li>
Develop intelligent tools and models to improve efficiency and reduce turnaround times for initial projections, such as die size and power bussing.</li><li>
Collaborate with the project team at the intersection of AI/ML, silicon development, and pathfinding for new design projects.</li><li>
Augment and accelerate existing build flows using foundational knowledge of design and chip architectures.</li><li>
Take part in brainstorming sessions and offer ideas for innovative solutions.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Currently pusuring a Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.</li><li>
Cannot graduate before September 2026.</li><li>
Background or coursework in Machine Learning, AI, Data Science, or Systems.</li><li>
Prior experience or academic projects involving hardware‑software interaction or AI applied to systems.</li></ul><p></p><p>
Preferred Qualifications:</p><ul><li>
Proven knowledge of machine learning algorithms and data-driven techniques.</li><li>
Strong understanding of AI/ML applications in real-world silicon development.</li><li>
Basic knowledge of building and chip architectures.</li><li>
Excellent problem-solving skills and the ability to work collaboratively in a team environment.</li><li>
A proactive and ambitious approach, eager to take on challenges and contribute to groundbreaking projects.</li></ul><p></p><p>
The US base salary range that Micron Technology estimates it could pay for this full-time position is:</p><p></p>
$46.51 - $55.82 an hour<p></p><p>
Additional compensation may include benefits, bonuses and equity.<br>
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.</p><p></p><p>
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.</p><p></p><p>
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To learn more about Micron, please visit micron.com/careers</p><p></p><p>
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)</p><p></p><p>
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.</p><p></p><p>
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AI alert<b>:</b> Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.</p><p></p><p>
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</p></div><p></p>
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Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it&rsquo;s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.<br>
<div>Sustainability</div><br>
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.</div></div></div></div><p></p>

Intern - Design Engineer

Enablers

<p><b>Job description:</b></p><p>Artificial Intelligence Trainer</p><p>Position: Visiting Trainer</p><p>Company: Enablers</p><p>About Us:</p><p>Enablers is a leading organization dedicated to providing high-quality training and education services. We are currently seeking a dynamic and knowledgeable Artificial Intelligence Trainer to join our team. As a visiting trainer, you will have the opportunity to share your expertise and knowledge with our students and help them develop essential skills in Artificial Intelligence.</p><p><b>Responsibilities:</b></p><ul><li>Conduct comprehensive training on artificial intelligence, machine learning, and deep learning concepts.</li><li>Teach participants how to use popular AI frameworks like Problem Solving in AI, AI Algorithms TensorFlow, PyTorch, etc.</li><li>Instruct on data preprocessing, Knowledge Representation, Knowledge-Based Agent, model building, and evaluation techniques.</li><li>Demonstrate various AI applications, such as image recognition, natural language processing, etc.</li><li>Assist participants in working on AI projects and solving real-world problems.</li><li>Stay informed about AI advancements and share cutting-edge research.</li></ul><p><b>Qualification:</b></p><ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><p><b>Eligibility Criteria:</b></p><ul><li>Knowledge of AI concepts, machine learning algorithms, and deep learning frameworks.</li><li>Proficiency in programming languages like Python or R for AI development.</li></ul><p><b>Experience:</b></p><ul><li>At least 2 years of hands-on experience in AI development and machine learning projects.</li><li>Previous work on AI applications such as image recognition, natural language processing, etc.</li></ul><p><b>What We Offer:</b></p><ul><li>Percentage Base</li><li>Professional and friendly working environment</li><li>Growth opportunities</li></ul><p><b>How to Apply:</b></p><p>Apply via Indeed or share your CV at:</p><p>Email: careers@enablers.org</p><p>Job Type: Contract</p><p>Work Location: In person</p>

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