machine learning intern

Chicago Souvenir Company

<p><b>Overview: </b></p><p>Love From USA is seeking a Software Engineering / AI Intern to provide part-time, in-office coverage over the summer. The ideal candidate brings a strong foundation in data analytics and software development, hands-on experience with CounterPoint and Sage software, and a genuine interest in applying AI tools to real-world retail and supply chain challenges.</p><p><b>Schedule:</b></p><ul><li>Summer, Part-Time, Non-Exempt position</li><li>Monday&ndash;Friday, standard business hours</li></ul><p><b>About Us</b></p><p>At Love From USA, we&rsquo;re not a typical retail company. With 24 stores (and growing) in high profile venues across the U.S., we have a passion for inspiring our customers and connecting them with the perfect gift. Love From USA is a specialty retailer operating in venues in Orlando, Denver + Chicago&rsquo;s airports along with highly trafficked locations like Mall of America and Chicago&rsquo;s Navy Pier.</p><p><b>Responsibilities</b></p><p>As a key member of the Operations and Technology team, this individual will:</p><ul><li>Lead data analytics efforts, including analysis of CounterPoint reports, sales trends, airport-driven metrics, and concept/industry-specific KPIs</li><li>Develop and maintain data pipelines and dashboards to track inventory, sales, and logistics performance</li><li>Analyze supply chain data to identify inefficiencies and recommend process improvements</li><li>Assist in building predictive models for demand forecasting and inventory optimization, leveraging AI tools including Claude (Anthropic&rsquo;s AI assistant) to accelerate analysis and automate insights</li><li>Support and extend reporting workflows within Sage (ERP/accounting) and Counterpoint (retail point-of-sale and inventory management), including data extraction, reconciliation, and integration tasks</li><li>Automate manual reporting processes using scripting or data tools</li><li>Collaborate with cross-functional teams (operations, finance, IT) to gather requirements and deliver solutions</li><li>Support integration of AI/ML tools into existing reporting workflows</li><li>Assist with Microsoft 365 administration tasks, including user provisioning, license management, and troubleshooting across the M365 suite</li><li>Support Microsoft Entra (Azure Active Directory) and on-premises Active Directory administration, including user and group management, access controls, and identity governance</li></ul><p><b>Qualifications</b></p><ul><li>Currently pursuing a Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field</li><li>Experience with programming languages such as Python, SQL, or Java</li><li>Familiarity with data analysis, visualization tools (e.g., Tableau, Power BI), or libraries (e.g., Pandas, NumPy)</li><li>Basic understanding of machine learning concepts is a plus</li><li>Strong analytical thinking and problem-solving skills</li><li>Ability to work independently and communicate effectively in a team environment</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience working with large datasets or cloud platforms (AWS, GCP, or Azure)</li><li>Exposure to supply chain, logistics, or retail analytics</li><li>Familiarity with Sage ERP or Counterpoint POS/inventory systems</li><li>Experience or coursework related to AI tools such as Claude or similar large language model platforms</li><li>Basic knowledge of Microsoft 365 administration, Microsoft Entra ID, or Active Directory (user management, group policies, permissions)</li><li>Interest in applying AI to business operations and enterprise systems</li></ul><p><b>What You&rsquo;ll Gain</b></p><ul><li>Hands-on experience solving real-world supply chain challenges in a high-volume retail environment</li><li>Exposure to airport retail operations and logistics</li><li>Practical experience with enterprise platforms including Sage, Counterpoint, Microsoft 365, Microsoft Entra, Active Directory, and Claude AI</li><li>Mentorship from experienced professionals in technology and operations</li><li>Opportunity to contribute to impactful, data-driven decision-making systems</li></ul><p><b>How to Apply</b></p><p>Please submit your resume and a brief statement of interest highlighting relevant coursework, projects, or experience in coding, data analysis, AI, or enterprise systems administration.</p><p>Pay: From $17.00 per hour</p><p>Ability to Commute:</p><ul><li>Shoreview, MN 55126 (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Shoreview, MN 55126: Relocate before starting work (Required)</li></ul><p>Work Location: In person</p>

Retail Software Engineering / AI Integration Intern

Software Engineer, Machine Learning

<div>
 Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
 <br/>
 <br/>
 Software Engineer, Machine Learning Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  </li>
  <li>
   Implement custom user interfaces using latest programming techniques and technologies
  </li>
  <li>
   Develop reusable software components for interfacing with back-end platforms
  </li>
  <li>
   Analyze and optimize code for quality, efficiency, and performance
  </li>
  <li>
   Lead complex technical or product efforts and provide technical guidance to peers
  </li>
  <li>
   Architect efficient and scalable systems that drive complex applications
  </li>
  <li>
   Identify and resolve performance and scalability issues
  </li>
  <li>
   Work on a variety of coding languages and technologies
  </li>
  <li>
   Establish ownership of components, features, or systems with expert end-to-end understanding
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  </li>
  <li>
   Experience building maintainable and testable code bases, including API design and unit testing techniques
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Experience building and shipping high quality work and achieving high reliability
  </li>
  <li>
   Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  </li>
  <li>
   Experience with developing machine learning models at scale from inception to business impact
  </li>
  <li>
   Exposure to architectural patterns of large scale software applications
  </li>
  <li>
   Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  </li>
  <li>
   2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  </li>
  <li>
   Knowledge developing and debugging in C/C++ and Java
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $154,003/year to $217,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Virginia Commonwealth University

<div><div><div><ul><li>45002119
</li></ul></div><div><ul><li>907 Floyd Avenue, MCV Main Campus, Virginia, United States, 23284
</li></ul></div><div><ul><li>SVP Health Sciences SML
</li></ul></div><div><ul><li>Research
</li></ul></div><div><ul><li>Wage (Hourly)
</li></ul></div><div><ul><li>Virginia Commonwealth University</li></ul></div></div><p></p><div><br>
</div><div><p><b>Advertising Summary:</b></p>
<p><b>
Unit:</b> School Of Medicine MBU</p>
<p><b>
Department:</b> Cellular and Genetic Medicine</p>
<p><b>
Department Summary:</b></p>
<p>
The Department of Cell, Molecular, and Genetics in Medicine (CMGM) at Virginia Commonwealth University is seeking a motivated undergraduate research assistant with a Computer Science background to support an active research program in computational and digital pathology. The student will work closely with faculty, postdoctoral researchers, and graduate students to develop and apply image analysis and machine learning pipelines on whole-slide pathology images, immunohistochemistry, and other biomedical imaging datasets. This is an excellent opportunity for a CS undergraduate to gain hands-on experience at the intersection of artificial intelligence and biomedical research and to contribute directly to ongoing peer-reviewed studies.</p>
<p><b>
Duties &amp; Responsibilities:</b></p>
<ul><li>Develop, train, and evaluate machine learning and deep learning models for biomedical image analysis tasks (classification, segmentation, object detection).</li></ul>
<ul><li>Implement and adapt digital pathology pipelines for whole-slide image (WSI) processing, including tiling, stain normalization, and feature extraction.</li></ul>
<ul><li>Curate, organize, and annotate image datasets in coordination with pathologists and other domain experts.</li></ul>
<ul><li>Write clean, well-documented Python code using standard ML and computer vision libraries (PyTorch, TensorFlow, scikit-learn, OpenCV, OpenSlide, QuPath).</li></ul>
<ul><li>Maintain reproducible experiments using version control (Git) and notebook-based workflows (Jupyter).</li></ul>
<ul><li>Participate in lab meetings, present progress and findings, and assist in preparing figures and supplementary materials for manuscripts.</li></ul>
<ul><li>Follow all data handling, privacy, and IRB guidance applicable to patient-derived imaging data.</li></ul>
<p><b>
Qualifications:</b></p>
<p>
Minimum Qualifications</p>
<ul><li>Currently enrolled in (or recently completed) a Bachelor's degree program in Computer Science or a closely related discipline (Data Science, Computer Engineering, Applied Mathematics).</li></ul>
<ul><li>Coursework or demonstrated project experience in programming (Python preferred), data structures, and at least one machine learning or computer vision course/project.</li></ul>
<ul><li>Ability to commit consistent weekly hours throughout the semester.</li></ul>
<ul><li>Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as an hourly employee at VCU.</li></ul>
<p>
Preferred Qualifications</p>
<ul><li>Hands-on experience with deep learning frameworks (PyTorch or TensorFlow).</li></ul>
<ul><li>Experienced in GPUs, HPC clusters, or cloud computing environments.</li></ul>
<ul><li>Coursework or research experience in biology, bioinformatics, or biomedical engineering is a plus but not required.</li></ul>
<ul><li>Strong academic standing (cumulative GPA 3.0 or higher).</li></ul>
<p><b>
Salary Range: </b>15.00 per hour</p>
<p><b>
Benefits</b>: All VCU employee types are eligible for a wide array of benefits to support you during your employment at VCU. Consult the benefits website for information on benefits eligibility according to employee type.</p>
<p><b>
FLSA Exemption Status:</b> Non-Exempt</p>
<p><b>
Hours per Week:</b></p>
<p>
Up to 25 hours per week; flexible schedule Monday&ndash;Friday between 8:00 AM and 6:00 PM, arranged around the student's course schedule.</p>
<p><b>
Flexible Work Arrangement: </b>Fully Onsite</p>
<p><b>
Contact Information:</b><br>
<br>
<b>Contact Email: SOMHR@vcuhealth.org</b></p></div></div>

Summer Research Assistant – Image Analysis & Digital Pathology

Cotiviti

<div>Overview:
<div>
We are looking for a curious, driven Data Science intern to join our analytics team for the summer. You will work on real healthcare data problems alongside full-time data scientists and engineers &mdash; not internal demos &mdash; touching everything from data wrangling and feature engineering to model evaluation and lightweight deployment.</div><div></div><div><br>
This is not a passive internship. Healthcare is a domain where accuracy, compliance, and explainability matter, and you will help shape how predictive and analytical models inform decisions for payers and providers. Expect to ship something you are proud of by the end of the summer.</div>
Responsibilities:<div></div><div><br>
Depending on your strengths and team needs, you will contribute to one or more of the following areas:</div><div></div><ul><li><br>
<b>Predictive modeling and feature engineering</b></li><li>Build and evaluate classification or regression models using Python and standard ML libraries</li><li>Engineer features from claims, clinical, or operational datasets</li><li>Measure model performance using AUC, log-loss, calibration, and other appropriate metrics</li></ul><div></div><ul><li><br>
<b>Data analysis and quality</b></li><li>Clean, transform, and profile datasets; document data-quality findings and assumptions</li><li>Write SQL against relational databases to extract and shape analytical inputs</li><li>Communicate findings through clear visualizations and written summaries</li></ul><div></div><ul><li><br>
<b> Model deployment and reproducibility</b></li><li>Build lightweight APIs or endpoints to surface model outputs (e.g., FastAPI)</li><li>Contribute to version-controlled, reproducible workflows using Git</li><li>Document pipelines so teammates can extend and audit your work</li></ul><div></div><ul><li><br>
<b> Applied research support (stretch opportunity)</b></li><li>Assist with experiments at the intersection of ML and healthcare workflows</li><li>Explore approaches such as adaptive fine-tuning or evaluation harnesses for LLM-based components</li></ul><br>
<div></div><ul><li>
Complete all responsibilities as outlined in the annual performance review and/or goal setting<b>.</b></li><li>
Complete all special projects and other duties as assigned.</li><li>
Must be able to perform duties with or without reasonable accommodation.</li></ul><div></div><div><br>
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.</div>
Qualifications:<div></div><ul><li><br>
<b>Education:</b> currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related quantitative field</li><li><b>Programming:</b> hands-on experience with Python for data analysis &mdash; pandas, scikit-learn, matplotlib</li><li><b> Core ML:</b> solid understanding of classification, regression, train/test discipline, and model evaluation</li><li><b>SQL:</b> comfort writing queries against relational databases</li><li><b>Project ownership:</b> experience taking a project end-to-end &mdash; question, data, model, insight &mdash; through coursework, personal projects, or prior internships</li><li><b>Communication:</b> ability to explain technical work clearly to non-technical stakeholders</li></ul><div></div><div><b><br>
Nice to have:</b></div><div></div><ul><li><br>
Exposure to model deployment using REST APIs, FastAPI, or similar</li><li>Familiarity with Git and basic experiment tracking</li><li>Experience with R, XGBoost, or other gradient-boosting libraries</li><li>Interest in healthcare data, payer/provider workflows, or regulated environments</li><li>Exposure to LLMs, fine-tuning techniques (e.g., LoRA), or evaluation methods</li></ul><div></div><div><b><br>
What you&rsquo;ll gain:</b></div><div></div><ul><li><br>
Hands-on experience building production-oriented data science work, not just demos</li><li>Exposure to real-world challenges in healthcare analytics &mdash; accuracy, compliance, explainability</li><li>Mentorship from experienced data scientists and engineers on a dedicated summer project</li><li>A defined deliverable and end-of-term demo to your team and broader stakeholders</li><li>Cohort programming, cross-functional networking, and competitive intern compensation</li></ul><div></div><div><div><b><br>
Cognitive/Mental Requirements:
</b></div><ul><li>Communicating with others to exchange information.</li><li>
Problem-solving and thinking critically.</li><li>
Completing tasks independently.</li><li>
Interpreting data.</li><li>
Making timely decisions in the context of a workflow.</li><li>
Maintaining focus.</li><li>
Assessing the accuracy, neatness and thoroughness of the work assigned.</li><li>
Learning new tasks and completing tasks in situations that have a speed or productivity quota.</li><li>
Remembering and adhering to processes and protocols.</li></ul></div><div><div><b>
Physical Requirements and Working Conditions:</b></div></div><div><ul><li>
Remaining in a stationary position, often standing or sitting for prolonged periods.</li><li>
Communicating with others to exchange information.</li><li>
Repeating motions that may include the wrists, hands, and/or fingers.</li><li>
Assessing the accuracy, neatness and thoroughness of the work assigned.</li><li>
No adverse environmental conditions expected.</li><li>
Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
</li><li>Must be able to provide a dedicated, secure work area.</li></ul></div><div></div><div><br>
Hourly compensation ranges from $20 to $26 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.</div><div></div><div><br>
Since this job will be based remotely, all interviews will be conducted virtually.</div><div></div><div><br>
Date of posting:6/5/2026</div><div>
Applications are assessed on a rolling basis. We anticipate that the application window will close on 8/5/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.</div><div></div><div><br>
#LI-DNP</div><div>
#intern</div><div>
#LI-remote</div></div><div></div>

Temporary Intern - Data Scientist

Block

<div><div><p>Block builds simple, powerful tools that make progress towards an economy that&rsquo;s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone. Join us.</p>
<p><b>
The Role</b></p>
<p>
Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem&mdash;including Cash App, Square, and other business units. We are dedicated to advancing the state of intelligent, automated support through machine learning and generative AI. From customer-facing chatbots to smart internal tools for agents, our team builds high-impact, scalable systems that improve support quality, efficiency, and accessibility.</p>
<p>
We're building the future of support at Block: one powered by AI, voice interfaces, and smart automation. We're looking for candidates with a passion for intelligent systems, practical ML experience, and a desire to build product-driven solutions. Our ideal candidate is a leader in the field, with a proven track record of building ML systems that can accelerate our ability to scale our conversational AI initiatives.</p>
<p><b>
You Will</b></p>
<ul>
<li>Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance</li>
<li>Partner strategically with risk, product, engineering, design, and operations leaders to define and drive long term ML roadmaps, informed by domain expertise and industry trends</li>
<li>Guide the team&rsquo;s direction, identifying new ML/AI opportunities and advising leadership on strategic tradeoffs and opportunities</li>
<li>Drive R&amp;D efforts exploring next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference</li>
<li>Design, deploy, and maintain ML models powering conversational agents including support chatbots across Cash App, Square, and other Block products</li>
<li>Develop ML-powered tools and real time recommendation systems that enhance support agent effectiveness and customer outcomes</li>
<li>Act as the technical representative for your team&rsquo;s systems and programs, clearly communicating work and results to stakeholders, cross-functional partners, and external audiences</li>
</ul>
<p><b>You Have</b></p>
<ul>
<li>10+ years of experience in machine learning, applied AI, or product ML roles, with deep technical expertise</li>
<li>Demonstrated leadership capabilities, with the ability to influence and align cross-functional teams while directly shaping the work of peers through communication, context sharing, and technical guidance</li>
<li>A track record of delivering organizational wide impact, shaping systems, frameworks, or initiatives that raise the bar across multiple teams or functions</li>
<li>Proven ability to ship end to end ML features from problem framing through deployment and long-term maintenance</li>
<li>Demonstrated experience with language models, dialog systems, or generative AI in production</li>
<li>Strong foundation in NLP, deep learning, or ML infrastructure best practices.</li>
<li>Excellent communication skills, with the ability to represent the team&rsquo;s work to leadership and stakeholders</li>
<li>Enthusiasm for R&amp;D and pushing the boundaries of applied AI to transform conversational systems</li>
</ul>
<p><b>Technologies We Use and Teach</b></p>
<ul>
<li>Python, PyTorch, TensorFlow, or JAX</li></ul><p></p><div><div><div><br>
<p>
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</p></div><p></p><div><br>
Zone A:</div><div>
$189,000&mdash;$283,600 USD</div></div><div><div>
Zone B:
</div><div>$179,600&mdash;$269,400 USD</div></div><div><div>
Zone C:</div><div>
$170,100&mdash;$255,100 USD</div></div><div><div>
Zone D:</div><div>
$160,700&mdash;$241,100 USD</div></div></div><div><p><b>
Application Guidelines</b></p>
<p>
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.</p>
<p><b>
Use of AI in Our Hiring Process</b></p>
<p>
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.</p>
<p>
Contact us here with hiring practice or data usage questions.</p>
<p><i>
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.</i></p>
<p><i>
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. </i><b><i>Square</i></b><i> makes commerce and financial services accessible to sellers. </i><b><i>Cash App</i></b><i> is the easy way to spend, send, and store money. </i><b><i>Afterpay</i></b><i> is transforming the way customers manage their spending over time. </i><b><i>TIDAL</i></b><i> is a music platform that empowers artists to thrive as entrepreneurs. </i><b><i>Bitkey</i></b><i> is a simple self-custody wallet built for bitcoin. </i><b><i>Proto</i></b><i> is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</i></p></div></div></div><p></p>

Staff Machine Learning Engineer (Modeling), Support

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Retail Software Engineering / AI Integration Intern

Software Engineer, Machine Learning

Software Engineer, Machine Learning

Software Engineer, Machine Learning

Summer Research Assistant – Image Analysis & Digital Pathology

Temporary Intern - Data Scientist

Staff Machine Learning Engineer (Modeling), Support