intelligence intern

Booz Allen Hamilton

<div>Enterprise Cybersecurity Data and Business Intelligence Intern<p><b>
The Opportunity:</b></p><p>
As an Enterprise Cybersecurity Data and Business Intelligence (BI) Intern, you will gain hands-on experience supporting enterprise cybersecurity initiatives. You&rsquo;ll assist with data wrangling, analysis, and reporting activities that help protect critical systems and inform decision making. This internship offers exposure to real-world cybersecurity engineering, mentorship from experienced professionals, and opportunities to apply classroom knowledge. Due to the nature of work performed within this facility, U.S. citizenship is required.</p><p></p><p><b>
How You&rsquo;ll Contribute:</b></p><ul><li>
Support development and maintenance of business intelligence reports</li><li>
Extract, transform, and load (ETL) data from using Python or Structured Query Language (SQL), focusing on code cleanliness and documentation</li><li>
Develop consulting skills and foundational analytics concepts by gathering technical requirements and iterating on dashboards based on feedback</li><li>
Grow your communication and technical skills by partnering with senior engineers to design automated, efficient solutions and by presenting your work in team reviews</li></ul><p></p><p>
Join us. The world can't wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
Experience using business intelligence or data visualization tools to aggregate and analyze data collected from various sources, such as Power BI, Tableau, or Qlik</li><li>
Experience working with a coding language, such as SQL or Python</li><li>
Knowledge of cybersecurity principles, solutions, or technologies</li><li>
Ability to work independently and collaboratively in a team environment</li><li>
Scheduled to obtain a bachelor&rsquo;s degree in Cybersecurity, Computer Science, Information Technology, Information Security, Analytics, or Data Science by December 2027</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with projects related to cybersecurity engineering</li><li>
Ability to display interest in security architecture, vulnerability management, or data and analytics</li><li>
Possession of excellent communication and documentation skills</li><li>
Possession of excellent analytical and problem-solving skills</li></ul><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $53,000.00 to $108,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Work Model</b><br>
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</p><ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Enterprise Cybersecurity Data and Business Intelligence Intern

Uber

<div>We're looking for PhD candidates to work with the Competitive Intelligence Team as a Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross-functional partners.
<br>
<br>
<b>About the Role
</b><br>
<br>
The Competitive Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and challenging problem. The team uses its data analysis, statistical modeling, economics, and business expertise to build scalable data products and ship actionable insights.
<br>
<br>
We are looking for candidates passionate about solving new and difficult problems with data. You will build out and own competitive metrics/models, provide key insights, conduct deep dive analysis to understand new opportunities and empower teams to make more informed business and strategy decisions with competitive intelligence.
<br>
<br>
<b>What You'll Do
</b><ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with engineers and product managers to turn prototypes into scalable solutions
</li><li>Present findings to leaders to inform decisions
</li><li>Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
</li></ul><b>Basic Qualifications
</b><ul><li>Pursuing a Ph.D. majoring in Statistics, Machine Learning, Economics, or other related quantitative fields
</li><li>Candidates should have at least one semester/quarter left of their education after finishing the internship
</li><li>Strong problem-solving and analytical abilities
</li></ul><b>Preferred Qualifications
</b><ul><li>Coding proficiency in areas such as R, Spark, SQL, Python
</li><li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
</li><li>Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, ML Model Development, Competitive Intelligence, Causal Inference, Operations Management, Transportation
</li><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail-oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li><li>Research mentality with a bias towards action to structure a project from idea to prototype to implementation
</li>Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Competitive Intelligence)

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

Sony

<div><p><b>Sony Corporation of America </b>, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: <b>www.sony.com/en </b>.<br>
<br>
</p><div><div><p><b>POSITION SUMMARY
</b></p></div><div><p><b>Sony Corporation of America ( </b><b>SCA,) </b>is seeking an <b>Intern, Cyber Threat Intelligence </b>to join the Corporate Information Security Division (CISD) organization located in <b>Reston, VA </b>for the 2026 summer internship program.
</p><p></p><p>This position will assist the Global Security Incident Response Team (GSIRT). The team is a pivotal part of Sony&rsquo;s program to secure its information assets, services, and the products that depend on them, building trust with customers and stakeholders and protecting the privacy of Sony&rsquo;s employees and customers. This position is for those interested in pursuing a career in cyber security, cyber threat intelligence, intrusion detection, and incident response on a global scale.
</p></div><p></p><div><p>The CISD summer internship program is designed to provide skills, knowledge, and hands-on work experience in the information security and privacy industry, supporting the personal growth of our interns as well as Sony business results.
</p></div><p></p><div><p><b>This 12‑week summer internship runs from June through August and offers flexibility to work either hybrid or fully remote.<br>
</b></p></div><p></p><div><p><b>RESPONSIBILITIES </b><b>:
</b></p></div><div><ul><li><p>Execute the stages of the Intelligence Lifecycle to deliver tailored network defense intelligence assessments to relevant Sony stakeholders.
</p></li></ul></div><div><ul><li><p>Contribute to a daily summary report on cyber threat news relevant to Sony group companies.
</p></li></ul></div><div><ul><li><p>Write high-quality threat reports tailored to Sony group companies, regions or industries where Sony operates .
</p></li></ul></div><div><ul><li><p>Maintain awareness of the latest emerging threats and exploitation vectors
</p></li></ul></div><div><ul><li><p>Perform research and analysis of data from various sources to help protect Sony from advanced threats.
</p></li></ul></div><div><ul><li><p>Compile, analyze, and display relevant team and threat metrics .
</p></li></ul></div><div><ul><li><p>Support projects to improve data collection, interpretation processes and initiatives regarding threat intelligence and information security.
</p></li></ul></div><div><ul><li><p>Develop and follow detailed operational processes and procedures.
</p></li></ul></div><div><ul><li><p>Assist other Security and Incident Response Teams
</p></li></ul></div><div><ul><li><p>Participate in the incident response lifecycle and gain familiarity with relevant methodologies, including detection, analysis, remediation, and deployment of countermeasures.
</p></li></ul></div><div><ul><li><p>Learn how to use common enterprise security tools and techniques during a computer security investigation.
</p></li></ul></div><div><ul><li><p>Perform other duties as assigned.
</p></li></ul></div><div><ul><li><p>Honesty, trustworthiness, and ethical conduct are material requirements for the responsibilities outlined above.
</p></li></ul></div></div><p></p><div><div><p><b>QUALIFICATIONS:
</b></p></div><div><ul><li><p>Current student pursuing a bachelor's or master's degree in computer science , Cyber Security, Information Technology, Criminal Justice, Intelligence Analysis, or related field
</p></li></ul></div><div><ul><li><p>Familiarity with networking and cybersecurity concepts.
</p></li></ul></div><div><ul><li><p>Exceptional research and analytical skills.
</p></li></ul></div><div><ul><li><p>Self-motivated and eager to work in a hybrid/remote environment with a small team.
</p></li></ul></div><div><ul><li><p>Detail-oriented, with the ability to multitask and quickly apply new concepts to accomplish assignments.
</p></li></ul></div><div><ul><li><p>Excellent communication and organizational skills .
</p></li></ul></div><div><ul><li><p>Proficient in Microsoft Office .
</p></li></ul></div><div><ul><li><p>Passionate about coding and automation.
</p></li></ul></div><div><ul><li><p>Previous experience through work or internship preferred.
</p></li></ul></div><div><ul><li><p>Familiarity with at least one programming language preferred.
</p></li></ul></div><div><ul><li><p>Fluency in Japanese is a plus.
</p></li></ul></div><div><ul><li><p>All candidates must be authorized to work in the USA.
</p></li></ul></div><p></p><div><p><i>The hourly rate for this internship depends on education level: $24.00 per hour for undergraduate candidates and $25.00&ndash;$27.00 per hour for graduate candidates. The individual will be paid hourly and eligible for overtime.<br>
</i></p></div><p></p><div><p>#LI-SC1
</p></div></div><p></p><p>All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
</p><p></p><p><b>Disability Accommodation for Applicants to Sony Corporation of America
</b></p><p>Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
</p><p></p><p>We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
</p><p></p><p>Right to Work (English/Spanish)
</p><p>E-Verify Participation (English/Spanish)</p></div><p></p>

Intern, Cyber Threat Intelligence

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>

Skyworks Solutions

<div><p>If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.</p><p></p><p><br>
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.</p><p>
Requisition ID: 76075</p><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><p>
Are you looking to transition from theory to a tangible hands-on Winter/Spring Co-Op (Jan - June)? Look no further and join Skyworks internship program.</p><p>
We are looking for self-motivated individuals, with a desire to learn. In this position we&rsquo;ll have a mentor to guide you and provide the foundational knowledge needed to shift from a classroom environment to employment.</p><p><b>
Benefits:</b> Flexible working hours, exposure to multiple groups in the organization such as but not limited to quality, engineering, management, etc.</p><p>
In this internship you will be responsible to create, expand, and optimize our Power BI reports and support Salesforce application. The ideal candidate should have data processing knowledge with an ability to understand organization&rsquo;s interactions. The Data Analyst Intern shall support our quality group by building data analytics, report generation and visualization apps. The right candidate shall exhibit skills of re-designing our SharePoint web applications.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><ul><li>
Ensure the continued integrity and compliance of the Quality Management System (QMS) by rigorously evaluating and managing system modifications.</li><li>
Conduct comprehensive analyses of large-scale datasets generated across multiple QMS platforms to derive actionable insights.</li><li>
Develop and implement structured data summaries, risk assessments, and visual representations to facilitate informed decision-making by quality approvers.</li><li>
Design and maintain analytical tools capable of extracting and processing data from various formats&mdash;including Excel, CSV, text files, and databases&mdash;to produce statistical evaluations, detailed reports, and visual dashboards.</li><li>
Establish robust processes and systems for monitoring quality performance, ensuring the accuracy, reliability, and accessibility of data in support of QMS maintenance and continuous improvement.</li><li>
Perform systematic testing and validation of all changes applied to QMS applications to confirm operational effectiveness and regulatory compliance.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Required Experience and Skills</b></h2></div><div><ul><li>
Strong analytical skills, especially with unstructured and disconnected datasets.</li><li>
Proven ability to build and manage data transformation processes, including metadata, dependencies, and workload orchestration.</li><li>
Experience designing, building, and maintaining user-friendly web pages using HTML, CSS, and jQuery.</li><li>
Hands-on experience with scripting languages such as Python, R, and jQuery for building intuitive user interfaces.</li><li>
Proficiency in relational SQL.</li><li>
Familiarity with Python libraries including pandas, scipy, numpy, and PySimpleGUI.</li><li>
Skilled in creating interactive dashboards using Power BI and publishing them via Microsoft Teams.</li><li>
Solid knowledge of Salesforce administration, including report and dashboard creation.</li><li>
Excellent problem-solving and troubleshooting abilities.</li><li>
Excellent communication skills and attention to details in documentation.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Education</b></h2></div><div><p>
Pursuing Graduate degree in Computer Science, Industrial Engineering, Information Systems, or another equivalent field</p><p></p><p><br>
#LI-JR1</p></div></div></div><p>
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.</p><p></p><p><br>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.</p></div>

Quality Management Systems Data Analyst Co-Op

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