applied machine learning engineer – ml & ai systems

data analyst & genai specialist, enterprise ai

after school comic book instructor (part-time, flexible hours)

ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

applied machine learning engineer – ml & ai systems Jobs in Chicago

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

data analyst & genai specialist, enterprise ai Jobs in Chicago

data engineer

machine learning engineer

Lenovo

<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

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

Robert Half

<div>
 <p>
  <strong>
   Position Intel:
  </strong>
  This is part of a new team built out to oversee the internal LLM and AI platforms. This person will be part of a four person AI group however they will be working with many other technical teams and no technical stakeholders across the organization. This person will be responsible for building the agentic workflow systems. Someone who is more of a developer background such as Python/Node would be ideal. Also someone who is in a machine learning function but wants to get away from the training and more into business logic side would be a fit as well. This person will be writing code to do orchestration, integrate business logic, and more complex tasks than a typical model training/tuning. Looking for this person to be involved with applied data science, n8n, understanding agentic workflow patterns, MCP tools, integrations, RAG implementation, and Python. An example would be creating the chat bot to query data sources, this can be in low code/no code but must have worked with code. Because this is a new division for the organization someone proven in the AI world will be a valuable asset. There is already a roadmap in place however this person will also be looked at to make suggestions, improvements, and champion future initiatives. If someone would like to be a true lead/manager of others this position allows for individual contributor but also formal lead structure. This is all on a Nvidia backed infrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Top Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Experience working on/in AI &amp; LLM platforms or services
  </li>
  <li>
   Developer or Machine Learning background
  </li>
  <li>
   Nvidia AI Enterprise Components- ideal not required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  &ldquo;Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.&rdquo;
 </p>
 <p>
 </p>
</div>


Artificial Intelligence Engineer

BMO Financial Group

<div><div><div><div><div><div><div><div><p>Application Deadline:
</p></div></div></div></div></div></div></div>05/28/2026
<p></p><p>Address:
</p>320 S Canal Street
<p></p><p>Job Family Group:
</p>Technology
<p></p><p>We are seeking a skilled, self-motivated and innovative analytics specialist with expertise in data engineering and data science, in on prem and cloud environments. The incumbent must be well versed in Python, machine learning, and have some experience working with large language models (LLMs).
</p><p></p><p>This role is ideal for someone who has mastered Python, operates well independently and in a team effort, thrives in a fast-paced environment and is passionate about transforming data into actionable insights and scalable analytical products to improve decision making. The work you do also contributes to making the work life of your colleagues better and more productive. It's important that you have a strong customer service mentality and be a great communicator and facilitator.
</p><p></p><p>The role supports an efficient and effective Compliance risk management function by designing and building automated processes, tools and analytical reporting capabilities to improve workflow, decision making and monitoring of risk and operations over time. The role does this by bringing a strong background in data engineering, data analytics, data science and statistics.
</p><p></p><p><b>In this Role You Will:
</b></p><ul><li><p>Design, build, and maintain analytical data products, dashboards, and reports to support business decision-making.
</p></li><li><p>Develop and deploy Python code to clean, process, and transform messy data.
</p></li><li><p>Develop and deploy machine learning models and pipelines using Python and ML Ops best practices.
</p></li><li><p>Work with orchestration and ETL tools to automate data workflows and ensure data quality and integrity.
</p></li><li><p>Leverage AWS services for data storage, processing, and model deployment.
</p></li><li><p>Collaborate with cross-functional teams to integrate data solutions into SharePoint, PowerPlatform and other enterprise platforms.
</p></li><li><p>Explore and apply large language models (LLMs) to solve complex business problems and enhance analytical capabilities.
</p></li><li><p>Monitor and optimize performance of data products and models in production environments.
</p></li><li><p>Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g., trading systems, GRC, lending system, payment system,) to fulfill analytical needs.
</p></li><li><p>Supports various project teams across the project lifecycle to ensure development is aligned with the business requirements.
</p></li><li><p>Recommends and implements solutions based on analysis of issues and implications for the business.
</p></li><li><p>Assists in the development of strategic plans.
</p></li><li><p>Identifies emerging issues and trends to inform decision-making.
</p></li><li><p>Researches existing or emerging requirements &amp; related best practices to assist and develops recommendations for changes/enhancements.
</p></li><li><p>Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements.
</p></li><li><p>Applies depth of domain &amp; functional expertise for the assigned portfolio to drive the expected business value.
</p></li><li><p>Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
</p></li><li><p>Builds tests cases in order to validate business requirements and End-User Testing results.
</p></li><li><p>Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
</p></li><li><p>Exercises judgment to identify, diagnose, and solve problems within given rules.
</p></li><li><p>Works independently on a range of complex tasks
</p></li></ul><p></p><p><b>Required Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field. Or a combination of higher education and 3 or more years&rsquo; direct experience in data analysis, data engineering, and machine learning.
</p></li><li><p>Expert-level proficiency in Python, including base Python, Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
</p></li><li><p>Expert level in SQL
</p></li><li><p>Hands-on experience with ML Ops tools and frameworks.
</p></li><li><p>Microsoft Graph API and working with APIs
</p></li><li><p>Strong understanding of AWS services (e.g., S3, RDS, Lambda, Glue, Redshift, SageMaker).
</p></li><li><p>Experience with orchestration tools (e.g., Apache Airflow, Prefect, LiquiBase) and ETL platforms.
</p></li><li><p>Strong knowledge of Microsoft PowerBI, PowerBI Apps and Workspaces.
</p></li><li><p>Experience working with fine-tuning models machine learning and generative models (e.g., OpenAI, Hugging Face Transformers, classic ML).
</p></li><li><p>Excellent communication and collaboration skills.
</p></li><li><p>Independent and collaborative project management skills
</p></li><li><p>JIRA/Confluence
</p></li><li><p>PowerBI fluency
</p></li></ul><p></p><p><b>Nice-to-haves:
</b></p><ul><li><p>Familiarity with Microsoft SharePoint and Microsoft PowerPlatform a plus.
</p></li><li><p>GitHub CoPilot
</p></li></ul><ul><li>In office requirement- 3 days in Chicago office (subject to change
</li></ul><p></p><p><b>Salary </b><b>:
</b></p>$81,400.00 - $151,800.00
<p></p><p><b>Pay Type:
</b></p>Salaried
<p></p><p>The above represents BMO Financial Group&rsquo;s pay range and type.
</p><p></p><p>Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
</p><p></p><p>BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
</p><p></p><p><b>About Us
</b></p><p></p><p>At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
</p><p></p><p>As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
</p><p></p><p>To find out more visit us at http://jobs.bmo.com/us/en
</p><p></p><p>BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
</p><p></p><p>BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
</p><p></p><p>Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</p></div>

Business Systems Analyst III

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>
</p></div></div><div></div><div><div><br>
<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>
</div></div><div></div><div><div><br>
<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>
</div></div><div></div><div><div><br>
<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>
</div></div><div></div><div><div><br>
<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>
</div></div><div></div><div><div><br>
<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>
</div></div></div></div></div><div></div><div><div><div><div><div><br>
<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>
</div></div></div></div></div><div></div><div><div><div><div><div><br>
<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>
<br>
<i>MetLife maintains a drug-free workplace.</i></div></div></div></div></div></div></div>

2026 Equity Management Summer Analyst

<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

Explore 100+ Machine learning engineer in Chicago this May. Find roles across top companies and apply now to boost your career.