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ai enablement intern

machine learning intern

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00097550
</div></div><div><div>Career area:
</div><div>Artificial Intelligence
</div></div><div><div>Country/Region:
</div><div>United States of America
</div></div><div><div>State:
</div><div>Illinois
</div></div><div><div>City:
</div><div>Chicago
</div></div><div><div>Date:
</div><div>Monday, April 13, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - Illinois - Chicago
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>Lenovo is seeking a highly motivated intern to contribute to the design, development, and exploration of our next-generation AI systems. As an intern, you will have the opportunity to work on a variety of projects across the AI stack &ndash; from foundational models to intelligent applications &ndash; depending on project needs and your own interests. This is an exciting opportunity to gain hands-on experience with cutting-edge AI systems while collaborating with experienced engineers, researchers, and product teams to help advance Lenovo&rsquo;s Hybrid AI vision and make Smarter Technology for All.</p><div><div><p><b>
Responsibilities:</b></p></div><div><ul><li><p><b>
AI</b><b> </b><b>System</b><b>s Development</b><b>:</b> Assist in the design, implementation, and testing of AI-driven systems and tools.</p></li></ul></div><div><ul><li><p><b>
Agent</b><b> </b><b>and Workflow</b><b> </b><b>Design:</b> Support development of intelligent agents and task automation pipelines, including prompt engineering and context management.</p></li></ul></div><div><ul><li><p><b>
Model Training &amp; Fine-Tuning:</b> Contribute to the training or fine-tuning of models such as Large Language Models (LLMs) and multimodal models (e.g., vision, text, and speech).</p></li></ul></div><div><ul><li><p><b>
On-Device</b><b> </b><b>Performance</b><b> </b><b>Optimization:</b> Help evaluate and optimize model performance on phones, tablets, and PCs, focusing on efficiency, latency, and power usage to get the most out of device hardware.</p></li></ul></div><div><ul><li><p><b>
Knowledge Management:</b> Explore technologies like vector databases, knowledge graphs, and retrieval-augmented generation (RAG) to enhance model performance.</p></li></ul></div><div><ul><li><p><b>
Evaluation</b><b> </b><b>&amp; Analysis</b><b>:</b> Help evaluate AI models for performance, accuracy, robustness, and fairness.</p></li></ul></div><div><ul><li><p><b>
Research &amp;</b><b> </b><b>Prototyping</b><b>:</b> Stay up to date with the latest AI advancements and assist in rapid prototyping of innovative concepts.</p></li></ul></div><div><ul><li><p><b>
Collaboration</b><b> </b><b>&amp;</b><b> </b><b>Documentation:</b> Work closely with mentors and team members to document findings, share insights, and contribute to project deliverables.</p></li></ul></div><div><p><b>
Qualifications:</b></p></div><div><ul><li><p>
Currently pursuing a Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Artificial Intelligence, Electrical &amp; Computer Engineering, Data Science, or a related technical field.</p></li></ul></div><div><ul><li><p>
Strong interest in AI, machine learning, and intelligent systems.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python, C++, Java, or Kotlin.</p></li></ul></div><div><ul><li><p>
Familiarity with operating systems such as Linux, Windows, or Android</p></li></ul></div><div><ul><li><p>
Basic understanding of Machine Learning and Deep Learning principles.</p></li></ul></div></div><div><div><ul><li><p>
Exposure to AI frameworks such as PyTorch, Transformers, LangGraph, or Autogen.</p></li></ul></div><div><ul><li><p>
Curiosity, adaptability, and willingness to learn new technologies and methods.</p></li></ul></div><div><ul><li><p>
Good communication and collaboration skills.</p></li></ul></div><div><p><b>
Bonus Points:</b></p></div><div><ul><li><p>
Experience working on personal or academic AI projects (e.g., LLMs, multimodal models, chatbots).</p></li></ul></div><div><ul><li><p>
Previous internship experience in software development or AI fields.</p></li></ul></div><div><ul><li><p>
Contributions to open-source AI projects.</p></li></ul></div><div><ul><li><p>
Publications in leading AI conferences or journals.</p></li></ul></div><div><p>
#LATC</p></div></div>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - Illinois - Chicago
</li></ul></div></div><div><ul><li>United States of America
</li></ul></div><div><ul><li>United States of America - Illinois
</li></ul></div><div><ul><li>United States of America - Illinois - Chicago</li></ul></div></div></div></div></div>

AI Engineering Intern - Summer 2026

Applied Machine Learning Engineer – ML & AI Systems

CCC Intelligent Solutions

<div><h1 class="jobSectionHeader"><b>Pay Rate/Hourly Range:
</b></h1><ul><li><p>The hourly range is $20.00 - $43.00 per hour.
</p></li><li><p>Pay is based on factors including school year, program of study, role responsibilities, etc.
</p></li></ul><p></p><p>CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy <b>, </b>creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we&rsquo;re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We&rsquo;re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com .<br>
</p><p></p><br>
<h1 class="jobSectionHeader"><b>The Role
</b></h1>As a member of AI Enablement team in CCC, you will be exploring many different technologies from network and infrastructure to the AI/machine learning algorithms that run on them. CCC owns many applications and services that we at AIE team are doing our best every day to create tools and services to improve the performance, accuracy, and efficiency of our Data Scientists and Machine Learning engineers. Our goal is to understand and utilize the state-of-the-art tools in the field of MLOps and DevOps. If you have an ambition to excel at this field, learn more and contribute more every day, we are eager to have you in our team.<br>
<p></p><br>
<h1 class="jobSectionHeader"><b>Key Responsibilities:
</b></h1><ul><li>Be involved in the full lifecycle of microservice development from design through testing and release.
</li></ul><ul><li>Design Dashboards and User Interfaces for our latest tools and models
</li></ul><ul><li>Contribute into the research and introduction of new MLOps/DevOps tools and technologies.
</li></ul><ul><li>Implement automations for deployment and monitoring of CCC applications.
</li></ul><ul><li>Collaborate with ML engineers and Data Scientists to facilitate their model development pipelines.
</li></ul><ul><li>Work with the Database, Middleware, Network and Server teams for applications deployment.
</li></ul><ul><li>Apply data science, machine learning &amp; optimization techniques to real-world problems.
</li></ul><ul><li>Manage individual project priorities, deadlines, and deliverables.<br>
</li></ul><p></p><br>
<h1 class="jobSectionHeader"><b>Requirements:
</b></h1><ul><li>Experience with software development in one or more general purpose scripting and programming languages (included but not limited to Python, Go, Java and JavaScript)
</li></ul><ul><li>Understanding Linux systems and bash scripts
</li></ul><ul><li>Working knowledge of version control systems like Git
</li></ul><ul><li>Understanding the concepts and processes surrounding Software Development Lifecycle.
</li></ul><ul><li>Interest in learning other coding languages per team requirements
</li></ul><ul><li>Experience in Kubernetes, Terraform, Pulumi, Ansible or other configuration management solutions is preferred<br>
</li></ul><p></p><br>
<div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>About CCC's Commitment to Employees:
</b></h1></div></div></div></div></div></div></div><p>CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion &amp; Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
</p><p></p><p>At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC&rsquo;s success.
</p><p></p><p>CCC offers competitive compensation and benefits to support you and your families, including:
</p><ul><li><p>401K Match
</p></li><li><p>Paid time off
</p></li><li><p>Annual Incentive Plan Performance Bonus
</p></li><li><p>Comprehensive health insurance
</p></li><li><p>Adoption Assistance
</p></li><li><p>Tuition Reimbursement
</p></li><li><p>Wellness Programs
</p></li><li><p>Stock Purchase Plan options
</p></li><li><p>Employee Resource Groups
</p></li></ul><p></p><p>For more information about our benefits, please check out our careers site .
</p><p></p><p>Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here
</p><p></p><p>If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.</p></div>

AI Enablement Intern

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 <br/>
 <br/>
 Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 <br/>
 <br/>
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 <br/>
 <br/>
 <strong>
  About Our Team
  <br/>
  <br/>
 </strong>
 Lenovo is building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo&rsquo;s cross‑device Personal AI.
 <br/>
 <br/>
 We are hiring a
 <strong>
  Machine Learning Engineer
 </strong>
 to own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
  </li>
  <li>
   Build evaluation frameworks to measure agent reliability and safety across different tasks.
  </li>
  <li>
   Build and maintain RAG systems, vector stores, and external tool integrations.
  </li>
  <li>
   Deploy and scale agent systems in production; translate relevant research into working systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization)
  </li>
  <li>
   Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
  </li>
  <li>
   Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
  </li>
  <li>
   Experience with RAG architecture, embedding models, and LLM evaluation methodology
  </li>
  <li>
   Experience with software engineering fundamentals (python and at least one other programming language).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Rust experience for performance-critical inference or runtime components
   <br/>
   <br/>
  </li>
 </ul>
 The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.
 <br/>
 <br/>
 Lenovo&rsquo;s various benefits can be found on www.lenovobenefits.com.
 <br/>
 <br/>
 <em>
  We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 </em>
</div>


Machine Learning Engineer

Chicago Fire

<div><div>The Chicago Fire Football Club (Chicago Fire FC) is an American professional soccer club that competes in Major League Soccer (MLS), the top U.S. domestic league. Founded on October 8, 1997, on the 126th anniversary of the Great Chicago Fire, the Club began play in 1998 as one of the League&rsquo;s first expansion franchises. The Fire have won six major domestic titles, including the 1998 MLS Cup; the 1998, 2000, 2003, and 2006 Lamar Hunt U.S. Open Cups; as well as the 2003 MLS Supporters&rsquo; Shield.<br>
</div><div>
The Club recently announced plans to build a $750M+ privately financed downtown stadium in Chicago in 2028. The stadium will anchor Chicago&rsquo;s newest neighborhood, the 78, a 62-acre development and entertainment district located along the Chicago River just south of Roosevelt Road. For more information on our bold plans, visit DearChicago.com.<br>
</div><div>
Additionally, the Club recently opened the state-of-the-art $100M Endeavor Health Performance Center in March 2025 that has set the standard for North American training facilities. With tremendous growth and expansion, the Club is laying the foundation for an audacious and ambitious vision that will transform the brand and the company in the coming years.<br>
</div><div>
At Chicago Fire FC, we&rsquo;re on a mission to entertain, serve, and unite Chicago by delivering excellence on and off the pitch to ensure a world-class experience. As a club we let our values guide everything we do: we uphold uncompromising integrity, show respect for all at all times, never settle for less, constantly innovate, and hold ourselves relentlessly accountable.</div><div>
</div><div><b>
Position Overview:</b></div><div>
Chicago Fire Football Club is seeking a dedicated Data Analyst Intern to join our team! The Data Analyst Intern will report into the Director, Football Analytics. Our internship program provides the opportunity to work on meaningful football initiatives that will improve the capabilities of the Football Analytics department. The Data Analyst intern will be responsible for working across varied datasets to develop metrics, predictive models, and agentic tooling to support football operations stakeholders. The data scientist intern will get insight and experience into a wide array of different processes throughout the club.</div><div>
</div><div><b>
Job Responsibilities:</b></div><ul><li>
 Partner with analytics department colleagues to build models and tools to inform football operations decision-making</li><li>
Contribute to the design and delivery of areas of stakeholder support, potentially including recruitment and scouting, performance, and internal analysis</li><li>
Present and communicate analyses to appropriate stakeholders</li><li>
Ensure all data processes are efficient, reliable and in line with club standards and time frames</li><li>
Develop strong working relationships across the multi-disciplinary team</li></ul><div></div><div><b><br>
Qualifications:</b></div><ul><li>
Enrolled in a quantitative Bachelor&rsquo;s or Master&rsquo;s program in Mathematics, Data Science, Statistics, Economics, or a related field</li><li>
Experience with a scientific computing language (eg. R, Python)</li><li>
Experience with SQL and relational databases</li><li>
Knowledge of statistical analysis, machine learning and/or predictive modeling</li><li>
 Strong written and oral communication skills and an ability to collaborate with non-technical audiences</li><li>
An ability to pick up new skills and knowledge quickly and effectively, from mentors and teammates</li><li>
An understanding of football and desire to learn about football analytics</li></ul><div></div><div><b><br>
Compensation:</b></div><ul><li>
This role offers an hourly rate of $16.60</li><li>
This role is classified as Part-time, non-exempt</li></ul><div></div><div><b><br>
Please note:</b></div><ul><li>
Chicago Fire FC is committed to fostering, cultivating, and preserving a culture of diversity, equity, accessibility, and inclusion. Our diversity initiatives start with the recruitment and selection process; therefore, we&rsquo;d like to welcome all diverse candidates to apply to opportunities within our Club.</li><li>
CFFC is committed to providing equal employment opportunity and maintaining a workplace for employees and applicants for employment that is free from discrimination. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, ethnicity, citizenship, age, veteran or military status, disability, sexual orientation, sexual orientation or expression, marital status or any other characteristic protected by law. This policy governs all aspects of employment, including hiring, promotion, compensation, discipline, termination, and access to benefits and training.
<ul><li>If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, please contact the Human Resources Department at hr@chicagofirefc.com to let us know the nature of your request and your contact information.
 </li></ul></li></ul><div><br>
<b>MLS Privacy Policy:</b></div><ul><li>
By clicking apply, you agree to the terms of the MLS Privacy Policy.</li></ul></div><div></div>

Data Analyst Intern

Prolific

<div>
 <strong>
  Product &amp; UX Design - AI Training
  <br/>
  <br/>
  <br/>
  <br/>
 </strong>
 <strong>
  <em>
   About Prolific
   <br/>
   <br/>
  </em>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <strong>
  <em>
   The role
   <br/>
   <br/>
  </em>
 </strong>
 We're looking for
 <strong>
  Product Designers and UX Specialists
 </strong>
 to join our Expert Network to help train and evaluate cutting-edge AI models using real design expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to
 <strong>
  $50 per hour
 </strong>
 . You must be prepared to complete paid tasks that
 <strong>
  require one hour of uninterrupted work
 </strong>
 , though many are shorter.
 <br/>
 <br/>
 <strong>
  <em>
   What you'll bring
   <br/>
   <br/>
  </em>
 </strong>
 <ul>
  <li>
   Education: A BS, MS, or PhD in Human-Computer Interaction (HCI), UX Design, Product Design, or a related field.
  </li>
  <li>
   <strong>
    Professional Experience:
   </strong>
   at least one year of experience designing digital products, conducting user research, or building design systems in a professional environment.
  </li>
  <li>
   <strong>
    Design Intuition:
   </strong>
   a deep understanding of usability heuristics, accessibility standards (WCAG), and user-centered design principles.
  </li>
  <li>
   <strong>
    Analytical Critique:
   </strong>
   the ability to provide high-quality feedback on UI layouts, user flows, and information architecture.
  </li>
  <li>
   <strong>
    Strategic Thinking:
   </strong>
   experience balancing user needs with business goals and technical constraints.
  </li>
  <li>
   <strong>
    Communication:
   </strong>
   proficiency in explaining the "why" behind design decisions and critiquing AI-generated designs for functional and aesthetic quality.
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   What you'll be doing in the role
   <br/>
   <br/>
  </em>
 </strong>
 <ul>
  <li>
   <strong>
    Evaluate LLM-Generated Designs:
   </strong>
   assess AI-generated wireframes, user flows, and product requirements for usability and logical consistency.
  </li>
  <li>
   <strong>
    Audit Accessibility &amp; Inclusion:
   </strong>
   review model outputs to ensure they adhere to modern accessibility standards and inclusive design practices.
  </li>
  <li>
   <strong>
    Fact-Check UX Principles:
   </strong>
   validate that model suggestions align with established design patterns and psychological principles (e.g., Fitts's Law, Gestalt principles).
  </li>
  <li>
   <strong>
    Annotate Design Logic:
   </strong>
   identify gaps in user journeys, redundant steps in a flow, or poor visual hierarchy in AI-proposed interfaces.
  </li>
  <li>
   <strong>
    Refine Product Requirements:
   </strong>
   evaluate AI-generated PRDs (Product Requirement Documents) for clarity, feasibility, and user value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Key Technologies
   <br/>
   <br/>
  </em>
 </strong>
 <ul>
  <li>
   Design Tools: advanced knowledge of Figma, Adobe Creative Suite, or Sketch.
  </li>
  <li>
   <strong>
    Prototyping:
   </strong>
   experience with high-fidelity prototyping tools (Protopie, Framer) and handoff processes.
  </li>
  <li>
   <strong>
    User Research:
   </strong>
   familiarity with tools like Maze, UserTesting, or Hotjar to validate design hypotheses.
  </li>
  <li>
   <strong>
    Product Management:
   </strong>
   proficiency with Jira, Linear, or Notion for documenting product lifecycles and specs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Why Prolific is a great platform to join as a Participant
   <br/>
   <br/>
  </em>
 </strong>
 Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 <br/>
 <br/>
 <strong>
  <em>
   Links &amp; Privacy
   <br/>
   <br/>
  </em>
 </strong>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 <strong>
  <em>
   Privacy Statement
   <br/>
   <br/>
  </em>
 </strong>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific's use of your personal information.
</div>


Product/UX Professionals - AI Training - Chicago, USA

MetLife

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><div><b>Primary Location</b></div><div>
Chicago, Illinois</div>
</div></div></div></div></div><div><div><div><div><div>Additional Location(s)
</div><div><ul><li>Posting Location: Chicago, Illinois</li></ul><br>
</div></div></div></div></div><div><div><div><div><div>City/Cities
</div><div>Chicago
</div></div><div><div>Region/States
</div><div>Illinois
</div></div><div><div>Country
</div><div>United States
</div></div><div><div>Working Schedule
</div><div>Part-Time
</div></div><div><div>Work Arrangement
</div><div>Hybrid
</div></div><div><div>Relocation Assistance Available
</div><div>No
</div></div><div><div>Posted Date
</div><div>13-Apr-2026
</div></div><div><div>Job ID
</div><div>16748
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><div></div><div><div><div><div><br>
<div><b>The Team You Will Join</b></div>
</div></div><div><div><p>Join a team where insight meets impact. At MetLife Investment Management (MIM), our Equities team applies deep fundamental research and disciplined portfolio construction seeking to uncover value across global markets. We invest with conviction&mdash;driven by data, collaboration, and long-term performance history. You&rsquo;ll work alongside experienced professionals, analyze dynamic sectors, and contribute to portfolios that help power institutional success. If you're passionate about equity markets and ready to shape investment outcomes through rigorous analysis and teamwork, this is where your career can thrive.<br>
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<div><b>The Opportunity</b></div>
</div></div><div><div><b>The Opportunity</b><div>
The Quantitative Equity Research Intern is responsible for supporting equity portfolio management and research efforts by applying quantitative, data-driven tools to investment decision-making within MetLife Investment Management (MIM) in the United States. Guided by our purpose&mdash;always with you, building a more confident future&mdash;and aligned with our New Frontier strategy focused on stronger growth, attractive returns, and all‑weather performance, this role offers a unique opportunity to work at the intersection of technology, data science, and active equity investing.</div><div>
In this role, you will collaborate closely with portfolio managers and equity analysts to transform fundamental investment ideas into scalable quantitative insights. You will design research projects, build intuitive dashboards, and apply machine learning and AI techniques to real-world investment problems. This is an exciting opportunity to gain hands-on experience in institutional asset management, learn from seasoned investment professionals, and contribute meaningfully to research that helps power long-term outcomes for global clients.</div><br>
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<div><b>Key Responsibilities</b></div>
</div></div><div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2><ul><li>
Partner with portfolio managers and equity analysts to conduct quantitative research and support investment decision-making</li><li>
Design and build data-driven research tools, including interactive dashboards and screening frameworks</li><li>
Apply machine learning, AI, and quantitative techniques to equity research and scalable workflows</li><li>
Analyze equity universes and translate fundamental investment insights into quantitative signals</li><li>
Present research findings and recommendations to investment professionals</li></ul></div><br>
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<div><b>Required Qualifications</b></div>
</div></div><div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2><ul><li>
Pursuing a Master&rsquo;s (completed first year) or Bachelor&rsquo;s (completed Junior year) in Computer Science, Mathematics, Statistics, Quantitative Finance, or a related field</li><li>
Strong programming skills in Python and/or R, with experience in data analysis, visualization, and dashboard tools</li><li>
Foundational knowledge of machine learning, AI, or NLP, ideally applied to financial or structured data</li><li>
Strong analytical mindset with attention to detail and problem-solving capability</li><li>
Effective communicator with the ability to explain quantitative concepts to non-technical audiences</li></ul></div><br>
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<div><b>Preferred Qualifications</b></div>
</div></div><div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2><ul><li>
Academic or practical exposure to equity markets, quantitative finance, or investment research</li><li>
Experience with data visualization or app-building tools such as Plotly, Dash, or Streamlit</li><li>
Intellectual curiosity and enthusiasm for the intersection of technology, data, and active investing</li></ul></div><br>
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<div>Location Expectation: This is a hybrid role<b> requiring a minimum of 3 days per week </b>in office.</div>
</div></div><div><div><p>$30 - $32/hour</p><br>
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<b>About MetLife</b><div><div><p><br>
Recognized on Fortune magazine's list of the &quot;World's Most Admired Companies&quot;, Fortune World&rsquo;s 25 Best Workplaces&trade;, as well as the Fortune 100 Best Companies to Work For&reg;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
</p><p></p><p>Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible. Join us!</p></div></div><br>
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<i>MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (&ldquo;protected characteristics&rdquo;).</i><div></div><div><i><br>
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.</i><br>
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<i>MetLife maintains a drug-free workplace.</i></div></div></div></div></div></div></div>

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