machine learning intern

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers &mdash; including 100% of the Fortune 50 &mdash; trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.
 
 
 This unique position in the ecosystem is driving exceptional growth &mdash; in 2025, we tripled ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how careers evolve in the AI economy at global scale, with visible real-world impact
 </li>
 <li>
 Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
 </li>
 <li>
 Help build a rapidly scaling business on a path toward multi-billion-dollar revenue
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 As a
 
 AI/Machine Learning Engineering Intern
 
 , you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.
 
 
 You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.
 
 
 This is a paid, full-time summer internship with two cohort options:
 
 
 <ul>
 <li>
 May 18 &ndash; August 7, 2026
 </li>
 <li>
 June 15 &ndash; September 4, 2026
 
 
 </li>
 </ul>
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner with senior engineers and data scientists to develop machine learning models that improve user experience
 </li>
 <li>
 Build Agentic pipelines/workflows to improve the Handshake student/employer user experience
 </li>
 <li>
 Contribute to experimentation, model evaluation, and performance monitoring
 </li>
 <li>
 Participate in technical discussions, brainstorming sessions, and team reviews
 </li>
 <li>
 Document methodologies and findings to support knowledge sharing and long-term system improvements
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 
 Must Haves
 
 
 
 <ul>
 <li>
 Are currently pursuing a degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Have exposure to software engineering best practices (version control, testing, code reviews)
 </li>
 <li>
 Have familiarity with data analysis techniques and experience with SQL
 </li>
 <li>
 Have strong problem-solving skills and the ability to work in a collaborative team environment
 </li>
 <li>
 Have strong communication skills and are able to explain technical concepts effectively
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, Google Cloud, or Azure
 </li>
 <li>
 Experience with modern coding tools like Cursor/Claude code/Codex
 </li>
 <li>
 Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 Handshake provides benefits that help you feel supported and thrive at work and in life.
 
 
 (The below benefits apply to US-based interns.)
 
 
 <ul>
 <li>
 💰 Competitive hourly compensation
 </li>
 <li>
 📚 Mentorship and hands-on learning from experienced ML engineers
 </li>
 <li>
 💻 5 days/week in-office experience
 </li>
 <li>
 🤝 Structured intern programming and team events
 
 
 </li>
 </ul>
 Explore our mission, values, and open roles at
 
 joinhandshake.com/careers
 
 .
 
 
</div>

AI/Machine Learning Engineer Intern

Netflix

<div>
 Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
 
 
 We are looking for Machine Learning Engineers to help design, build, and deploy machine learning models and systems that power personalized recommendations, content optimization, search, streaming quality, and other data-driven features across the Netflix platform. We are looking for candidates who will develop and maintain scalable ML pipelines and infrastructure, collaborate with data scientists, product managers, and engineers to translate business needs into ML solutions, and experiment with new algorithms and techniques to improve user experience and operational efficiency.
 
 
 Candidates will be evaluated to find the best fit in one of our organizations, including Content, Choosing &amp; Conversation, Commerce or AI for Member Systems. You can find a detailed list of teams across these organizations to learn more. Applicants are encouraged to express their interest in one or multiple types of teams/ domain areas listed if your skills and qualifications are aligned.
 
 
 
 We Are Looking For Individuals With The Following Qualifications
 
 
 
 <ul>
 <li>
 Currently enrolled student pursuing an advanced degree (Master&rsquo;s or PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
 </li>
 <li>
 Some experience with the following machine learning areas:
 </li>
 <ul>
 <li>
 Foundational science: Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
 </li>
 <li>
 Software engineering: Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
 </li>
 <li>
 End-to-end systems: Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.
 </li>
 </ul>
 <li>
 Practical experience with programming and machine learning, evidenced by projects, classwork, or research.
 </li>
 <li>
 Proficiency or familiarity with languages such as Python, Java, Scala, or Spark
 </li>
 <li>
 Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn
 </li>
 <li>
 Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
 </li>
 <li>
 Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
 </li>
 <li>
 Great communication skills, both oral and written.
 </li>
 <li>
 Intent to return to your degree-program after the completion of the internship.
 
 </li>
 </ul>
 
 For your application to be considered complete
 
 
 
 <ul>
 <li>
 You will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.
 </li>
 <li>
 Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).You will be asked to include a short statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix Research site.
 </li>
 <li>
 Applications will be reviewed on a rolling basis and it&rsquo;s in the applicant's best interest to apply early. The application window will remain open until roles are filled.
 
 
 </li>
 </ul>
 
 About The Internship Program
 
 
 
 At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.
 
 
 <ul>
 <li>
 Internships are paid and are a minimum of 12 weeks, with a choice of fixed start dates in January 2026 (Winter), May or June 2026 (Summer) to accommodate varying school calendars. Our summer internships will be located at our headquarters in Los Gatos, CA, with limited opportunities in Los Angeles or New York depending on the team.
 </li>
 <li>
 This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed.
 
 
 </li>
 </ul>
 At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for Netflix Internships is typically $40/hour - $85/hour.
 
 
 This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
 
 
 Job is open for no less than 7 days and will be removed when the position is filled.
</div>

Machine Learning Engineer Intern, (MS/PhD) 2026

Capital Rx

<div>
 
 About Judi Health
 
 
 
 Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
 
 
 <ul>
 <li>
 Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
 </li>
 <li>
 Judi Health&trade;, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
 </li>
 <li>
 Judi&reg;, the industry&rsquo;s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
 
 
 </li>
 </ul>
 Together with our clients, we&rsquo;re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
 
 
 
 Position Summary
 
 
 
 Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineering Intern. We are looking for a graduate students with artificial intelligence / machine learning specialization to join us in investigating AI capabilities and tools to improve productivity and create magical experiences in our products and services.
 
 
 In this role, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of the healthcare tech industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Investigate and experiment with tools and methodologies leveraging Artificial Intelligence (AI) and machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
 </li>
 <li>
 Work with senior technical staff to develop improvements to models to generate new content using machine learning models in a secure, well-tested, and reasonably performant way.
 </li>
 <li>
 Apply tools and methodologies for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development
 </li>
 <li>
 Ensure the integrity and robustness of ML solutions by executing automated testing and validation processes established within the team.
 </li>
 <li>
 Document and communicate development processes and implementation details with peers and supervisors.
 </li>
 <li>
 Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
 </li>
 <li>
 Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Working toward a masters or doctoral degree in computer science, engineering, machine learning, applied mathematics, or equivalent.
 </li>
 <li>
 Good understanding or having completed course work of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
 </li>
 <li>
 Basic understanding of OOP, Design Patterns, efficient algorithms, and software development lifecycles.
 </li>
 <li>
 Decent proficiency in Python.
 </li>
 <li>
 Good problem-solving skills, attention to detail, and a strong capacity for logical thinking.
 </li>
 <li>
 Some experience crafting, conducting, analyzing, and interpreting experiments and investigations is a plus.
 </li>
 <li>
 Good written communication skills that enable collaboration in a remote and fast-paced environment.
 
 
 </li>
 </ul>
 Salary Range
 
 
 $35&mdash;$40 USD
 
 
 
 All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
 
 
 
 
 Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 
 By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
</div>

AI / Machine Learning Summer Intern (Graduate level)

Pitney Bowes

<div>At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too. 
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.<div>
We actively look for prospects who: 
<ul><li>Are passionate about client success.</li><li>Enjoy collaborating with others.</li><li>Strive to exceed expectations.</li><li>Move boldly in the quest for superior and best in market solutions.</li></ul></div>
Job Description:
A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.
Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:<ul><li>
PROJECTS: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer</li><li>
SUPPORT: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!</li><li>
PAY: The wage range for this position is $22 to $25 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.</li><li>
JOB OFFERS: The intern program may only last 10-weeks, June 1st - August 7th, but we don&rsquo;t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes</li></ul>
This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.
Join the SendTech Engineering Organization as an AI/ML Intern and work with the AI Center of Excellence and engineering teams on real projects involving machine learning, generative AI, automation, and data engineering. This internship gives you hands‑on experience, mentorship, and the chance to contribute to impactful solutions.
You Will:<ul><li>
Assist in developing and testing machine learning models for prediction, classification, and generative tasks.</li><li>
Support AI workflows through data preparation, feature exploration, and basic deployment steps.</li><li>
Build prototypes and proof‑of‑concept tools using Python and cloud technologies.</li><li>
Analyze datasets to uncover insights that support product or process improvements.</li><li>
Help document experiments and summarize model performance.</li><li>
Work with engineering mentors to troubleshoot and refine AI components.</li></ul><h2 class="jobSectionHeader">
You Bring:</h2><ul><li>
Strong Python programming skills.</li><li>
Basic understanding of machine learning concepts (e.g., supervised learning, NLP, deep learning).</li><li>
Familiarity with ML libraries such as scikit‑learn, LangGraph, TensorFlow, or PyTorch.</li><li>
Interest in generative AI, LLMs, or retrieval systems is a plus.</li><li>
Ability to work with datasets and create simple analyses or visualizations.</li><li>
Curiosity, communication skills, and a willingness to learn.</li></ul><h2 class="jobSectionHeader">
Preferred Background</h2><ul><li>
Coursework in AI, ML, Data Science, Computer Science, or related fields.</li><li>
Exposure to cloud platforms like AWS or GCP.</li><li>
Experience from school projects, research, hackathons, or personal projects.</li></ul>
We will:<ul><li>Provide the opportunity to grow and develop your career</li><li>Offer an inclusive environment that encourages diverse perspectives and ideas</li><li>Deliver challenging and unique opportunities to contribute to the success of a transforming organization</li><li>Offer comprehensive benefits globally (PB Live Well)</li></ul>
Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.</div>

Artificial Intelligence Intern

Nasuni

<div>Data Science Summer Intern &ndash; Customer Experience (AI &amp; Proactive Customer Health and Insights)

Location: Boston Seaport or Marlborough, MA (Hybrid &ndash; 3 days/week onsite)

Duration: June 1, 2026 &ndash; August 7, 2026 (10 weeks)

Compensation: Hourly paid internship

Role Overview:

Nasuni is seeking a Data Science Summer Intern to join our Customer Experience (CX) organization. This role is designed for a Master's-level student who is passionate about applying artificial intelligence and machine learning to real-world business challenges within a SaaS environment.

This is a highly hands-on internship focused on building real solutions rather than passive research. The intern will analyze complex customer datasets, develop predictive models, and help design proactive frameworks that improve customer health, retention, and expansion opportunities. Working closely with Customer Success leadership, Operations, and cross-functional teams, the intern will help transform customer data into intelligent insights that drive measurable business outcomes. This role offers exposure to modern AI techniques, customer analytics, and enterprise-scale SaaS data environments.

Key Responsibilities:
<ul>
<li>Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities.</li>
<li>Analyze customer product usage, engagement metrics, and support data to identify early indicators of customer risk or growth potential.</li>
<li>Design and test AI-driven frameworks for proactive customer health management.</li>
<li>Build and refine customer health scoring methodologies using statistical analysis and machine learning techniques.</li>
<li>Explore NLP and large language model (LLM) applications to extract insights from unstructured data sources such as support cases, internal notes, and customer communications.</li>
<li>Conduct exploratory data analysis to uncover behavioral trends, usage patterns, and drivers of customer success.</li>
<li>Create visualizations, dashboards, and reports that communicate findings clearly to business leaders and CX stakeholders.</li>
<li>Present insights, models, and actionable recommendations to the Customer Experience organization at the conclusion of the internship.</li>
</ul>
Required Qualifications:
<ul>
<li>Currently enrolled in a Master's program in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.</li>
<li>Strong foundation in machine learning, predictive modeling, and statistical analysis.</li>
<li>Proficiency in Python with experience using libraries such as pandas, NumPy, and scikit-learn.</li>
<li>Working knowledge of SQL for querying, transforming, and analyzing structured datasets.</li>
<li>Ability to communicate complex analytical insights clearly and work effectively in a fast-paced, collaborative environment.</li>
</ul>
Additional Qualifications:
<ul>
<li>Experience with customer analytics, churn modeling, or customer health scoring frameworks.</li>
<li>Exposure to NLP, LLMs, or generative AI applications.</li>
<li>Familiarity with BI or visualization tools such as Tableau, and experience working with cloud environments (AWS preferred).</li>
</ul>
About Nasuni

Nasuni is the unstructured data foundation for enterprise teams&mdash;and the AI that supports them. We manage, protect, and activate the world's unstructured data so organizations can work smarter, spend wisely, and create safely without limits. Our AI-ready platform helps enterprises modernize file infrastructure&mdash;supporting secure collaboration, resilience, and intelligent automation across global environments.

Why Work at Nasuni (Boston)

Based in the Greater Boston area, Nasuni brings together teams building modern cloud and data infrastructure used by enterprises worldwide. In our Boston roles, you'll collaborate closely with cross-functional partners to ship meaningful product and customer outcomes. If you value ownership, practical problem-solving, and contributing to high-impact work inside a growing SaaS company, you'll find strong mentorship and real responsibility here.

As an hourly summer intern, you'll gain:
<ul>
<li>Structured onboarding and mentorship</li>
<li>Hands-on project ownership</li>
<li>Exposure to enterprise marketing and communications programs</li>
<li>Networking opportunities across departments</li>
<li>A collaborative Boston Seaport office environment</li></ul> 


Compensation Transparency:

In accordance with U.S. pay transparency laws, Nasuni is committed to providing visibility into compensation for all U.S.-based roles. Click HERE to view our compensation ranges by job grade. Actual compensation will be based on a variety of factors, including a candidate's experience, skills, education, and work location.

To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.

Nasuni is an equal opportunity employer. The equal employment opportunity policy at Nasuni protects employees and job applicants from discrimination on the bases of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, and training and career development programs.<div> 
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, &quot;Nasuni&quot;) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.</div></div>

Data Science Intern - SaaS Customer Experience Analytics

NASDAQ

<div>About Our Internship Program 
 
Nasdaq&rsquo;s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business. 
 
We believe the best way to learn is by doing &mdash; that&rsquo;s why you&rsquo;ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You&rsquo;ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program. 
 
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.<div></div><div>
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research &amp; Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.</div><div></div><div> 
At Nasdaq, you&rsquo;ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you&rsquo;ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].</div><div></div><div> 
You don&rsquo;t need to know everything on day one &mdash; we&rsquo;ll help you build the skills, confidence, and network to grow your career.</div><div></div><div>
What You&rsquo;ll Do</div><div></div><ul><li> 
 Support the R&amp;D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives</li><li> Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.</li><li> Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.</li><li> Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders</li><li> Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.</li></ul><div></div><div> 
What You&rsquo;ll Bring</div><div></div><ul><li> 
 Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.</li><li> Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis</li><li> Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting</li><li> Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.</li><li> Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.</li></ul><div></div><div>
Nice-to-Have</div><div></div><ul><li> 
 Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.</li><li> Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology</li><li> Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS</li></ul><div></div><div>
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.</div><div></div><div>
Come as You Are</div><div></div><div>
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.</div><div></div><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</div></div><div></div>

Data Science Intern - 2026 Summer Intern

FTI Defense - Frontier Technology Inc.

<div>
 
 Overview
 
 
 
 Frontier Technology Inc. (FTI) is seeking motivated AI/ML interns to join our team for the Summer 2026 Internship Program. This internship offers hands-on experience working on impactful projects in Artificial Intelligence, Machine Learning, MLOps, and advanced analytics that support mission-critical solutions for the Department of Defense (DoD).
 
 
 This role provides a unique opportunity for you to work closely with FTI&rsquo;s Chief Technology Officer (CTO) and his AI technologist, gaining mentorship and direction from senior technical leaders while collaborating with experienced engineers in a dynamic environment.
 
 
 At FTI, our culture is built around the 4C&rsquo;s: Core Values, Commitment, Compassion, and Charity. We show our passion for our employees and customers while demonstrating love for our neighbors and communities.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Assist in the design, development, and deployment of AI/ML models and analytics solutions.
 </li>
 <li>
 Support data preparation, feature engineering, and model training using modern ML frameworks.
 </li>
 <li>
 Contribute to MLOps workflows, including testing, validation, and automation for model deployment.
 </li>
 <li>
 Collaborate with engineers to integrate AI/ML capabilities into software systems and applications.
 
 
 </li>
 </ul>
 
 Education/Qualifications
 
 
 
 
 Baseline Qualifications:
 
 
 
 <ul>
 <li>
 U.S. citizenship required.
 </li>
 <li>
 You are flexible and agile, and love working under pressure and enjoy breaking the box.
 </li>
 <li>
 You are comfortable without structure.
 </li>
 <li>
 You love to code.
 </li>
 <li>
 Actively pursuing a bachelor&rsquo;s degree in computer science or software engineering.
 </li>
 <li>
 Strong programming skills in Python (additional languages such as Java or C++ are a plus).
 </li>
 <li>
 Basic understanding of AI/ML concepts and willingness to learn advanced techniques.
 </li>
 <li>
 Strong communication and collaboration skills, a passion for coding, and an eagerness to take on new challenges.
 
 
 </li>
 </ul>
 
 Academic Courses Or Previous Intern Work
 
 
 
 <ul>
 <li>
 You have taken an Artificial Intelligence course that has introduced you to classic AI search, reasoning, basic neural methods, and probabilistic reasoning.
 </li>
 <li>
 You have taken an Introduction to Data Science course that has been able to provide you exposure into data acquisition, cleansing, manipulation, and machine learning toolkits using Python and SQL, with hands-on data work.
 </li>
 <li>
 You have taken a course or had a previous internship that has provided you exposure into data pipelines, feature extraction, model evaluation, visualization, and ethical considerations using real datasets and Python toolkits.
 </li>
 <li>
 You have taken a course or had a previous internship that has provided you exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
 
 
 </li>
 </ul>
 
 Why This Internship Is Unique
 
 
 
 <ul>
 <li>
 Direct Access to Senior Leadership: Work closely with FTI&rsquo;s CTO and our AI Technologist who will provide both mentorship and guidance.
 </li>
 <li>
 Impactful, Mission-Focused Work: Contribute to projects that support national defense and make a real-world difference.
 </li>
 <li>
 Hands-On Experience with Emerging Tech: Gain practical skills in AI, ML, and advanced analytics; technologies in high demand across industries.
 </li>
 </ul>
</div>

AI/ML Engineering Internship

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