ai/ml intern

<div><div>At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.</div><div><br>
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.</div><div></div><div>
Position Summary</div><div>
Are you a curious, motivated student in Computer Science ready to make an impact? Join F5&rsquo;s Summer Internship Program and dive into hands-on projects that power real-world solutions.</div><div></div><div>
As a Software Development Engineer (AI/ML) Intern, you will collaborate with talented engineers, design and build scalable systems, and explore technologies that keep the digital world safe. Whether your passion is backend development, DevOps, or learning new tools, you&rsquo;ll take on meaningful challenges, sharpen your skills, and make your mark at F5.</div><div></div><div>
Eligibility: This internship is open to students pursuing their bachelor&rsquo;s or master&rsquo;s degree at an accredited college or university in the US, planning to graduate between December 2026 and June 2027. Our interns (and their potential subsequent full-time role) are required to be based in one of our US hub locations where you can experience a hybrid working environment. Interns will be based in San Jose, CA based on team placement.</div><div></div><div>
This role will be San Jose, CA based and interns are expected to relocate if not currently in one of those areas.</div><div></div><div>
The ideal candidate will be able to:</div><ul><li>
Contribute to real-world projects and the development cycle of products that meet team goals.</li></ul><ul><li>
Work with peers to design, implement, and test code in a collaborative environment.</li></ul><ul><li>
Help analyze requirements, test features, and integrate components into applications.</li></ul><ul><li>
Assist with creating technical documentation for designs and new features.</li></ul><ul><li>
Participate in design and code reviews to learn best practices and ensure quality.</li></ul><ul><li>
Collaborate with your project team to explore and develop data-driven solutions.</li></ul><div>
Knowledge, Skills and Abilities:</div><ul><li>
Technical Curiosity: You&rsquo;re eager to apply your programming knowledge, learn new languages and tools, and grow your technical skill set.</li></ul><ul><li>
Problem-Solving Mindset: You can think critically, use data to make decisions, and aren&rsquo;t afraid to ask questions when faced with challenges.</li></ul><ul><li>
Adaptability &amp; Initiative: You&rsquo;re willing to take on new challenges, contribute ideas, and adapt as projects evolve.</li></ul><ul><li>
Team Player: You enjoy working with others, exchanging ideas, and supporting your peers to achieve common goals.</li></ul><ul><li>
Strong Communicator: You can share your thoughts clearly, listen actively, and value different perspectives on the team.</li></ul><div>
Qualifications:</div><ul><li>
In the process of completing a bachelor&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Information Technology, Computer Engineering, or related fields</li></ul><ul><li>
Must have at least one additional quarter/semester of school remaining following the completion of the internship</li></ul><ul><li>
Be enrolled in an accredited college or university in the United States</li></ul><ul><li>
Demonstrated experience programming in an object-oriented language (e.g. Python, Go, Java, C#, C)</li></ul><ul><li>
Foundational understanding of AI/ML concepts (e.g., supervised vs. unsupervised learning, train/test splits, overfitting, and common evaluation metrics).</li><li>
Demonstrated knowledge in computer science fundamentals (e.g. Data Structures and Algorithms)</li></ul><ul><li>
Must be willing to relocate to San Jose, CA for the internship and for a subsequent full-time role upon graduation, if offered.</li></ul><div>
Preferred Skills (Not Required but Valued)</div><ul><li>
Experience with Systems &amp; Scripting (e.g. Linux, Shell scripting)</li></ul><ul><li>
Experience with Infrastructure &amp; DevOps (e.g. CI/CD automation, Docker, Kubernetes)</li><li>
Experience building LLM-based applications (e.g., RAG, chatbots, or AI agents with tool/function calling) through projects or coursework. Experience with Research &amp; Applications (e.g., AI/ML), including exploring existing approaches (papers, blogs, or open-source), turning them into proof-of-concepts, and documenting results and recommendations; publications or open-source contributions are a plus.</li></ul><div>
Why You&rsquo;ll Love F5</div><ul><li>
Training &amp; Mentoring: Develop your skills with comprehensive training and support from experienced mentors.</li></ul><ul><li>
Wellness Weekends: Enjoy additional days off for rest and rejuvenation.</li></ul><ul><li>
Continuous Learning: Embrace daily learning opportunities with autonomy and responsibility.</li></ul><ul><li>
Intern Week: Gather with company leaders, fellow interns, and future colleagues for a fun and interactive week of events to celebrate interns and prepare you for a future at F5.</li></ul><ul><li>
Path to Permanency: Excel in your internship and return to a full-time role in the same location after graduation!</li></ul><div></div><div>
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5&rsquo;s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.</div><div></div><div>
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.</div><div></div>
The hourly U.S. pay range for this position is: $42.00 - $63.60<div></div><div><i>
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5&rsquo;s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.</i></div><div></div><div><i>
You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5&rsquo;s benefits can be found at the following link: </i><div><i>https://www.f5.com/company/careers/benefits</i></div><i>. F5 reserves the right to change or terminate any benefit plan without notice.</i></div><div></div><div>
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).</div><div></div><div>
Equal Employment Opportunity</div><div></div><div>
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting <div>accommodations@f5.com</div>.</div></div>

Software Development Engineer (AI/ML) Intern

Pitney Bowes

<div><p><b>At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.</b></p><p><br>
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: <b>Client. Team. Win. Innovate.</b></p><p></p><div>
We actively look for prospects who:<br>
<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><p></p><p><b>
Job Description:</b></p><p></p><p>
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.
</p><p></p><p>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:</p><ul><li><p><b>
PROJECTS</b>: 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</p></li><li><p><b>
SUPPORT</b>: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!</p></li><li><p><b>
PAY</b>: 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.</p></li><li><p><b>
JOB OFFERS</b>: 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</p></li></ul><p></p><p><b>
This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.
</b></p><p></p><p>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.</p><p></p><p><b>
You Will:</b></p><ul><li><p>
Assist in developing and testing machine learning models for prediction, classification, and generative tasks.</p></li><li><p>
Support AI workflows through data preparation, feature exploration, and basic deployment steps.</p></li><li><p>
Build prototypes and proof‑of‑concept tools using Python and cloud technologies.</p></li><li><p>
Analyze datasets to uncover insights that support product or process improvements.</p></li><li><p>
Help document experiments and summarize model performance.</p></li><li><p>
Work with engineering mentors to troubleshoot and refine AI components.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
You Bring:</b></h2><ul><li><p>
Strong Python programming skills.</p></li><li><p>
Basic understanding of machine learning concepts (e.g., supervised learning, NLP, deep learning).</p></li><li><p>
Familiarity with ML libraries such as scikit‑learn, LangGraph, TensorFlow, or PyTorch.</p></li><li><p>
Interest in generative AI, LLMs, or retrieval systems is a plus.</p></li><li><p>
Ability to work with datasets and create simple analyses or visualizations.</p></li><li><p>
Curiosity, communication skills, and a willingness to learn.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Background</b></h2><ul><li><p>
Coursework in AI, ML, Data Science, Computer Science, or related fields.</p></li><li><p>
Exposure to cloud platforms like AWS or GCP.</p></li><li><p>
Experience from school projects, research, hackathons, or personal projects.</p></li></ul><p></p><p><b>
We will:</b></p><p></p><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<b> </b>(PB Live Well)</li></ul><p></p><p>
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.</p><p>
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.</p><p>
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.</p></div>

Artificial Intelligence Intern

FTI Defense - Frontier Technology Inc.

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  Overview
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 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).
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 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.
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 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.
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  Responsibilities
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   Assist in the design, development, and deployment of AI/ML models and analytics solutions.
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   Support data preparation, feature engineering, and model training using modern ML frameworks.
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   Contribute to MLOps workflows, including testing, validation, and automation for model deployment.
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   Collaborate with engineers to integrate AI/ML capabilities into software systems and applications.
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  Education/Qualifications
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  Baseline Qualifications:
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   U.S. citizenship required.
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   You are flexible and agile, and love working under pressure and enjoy breaking the box.
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   You are comfortable without structure.
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   You love to code.
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   Actively pursuing a bachelor&rsquo;s degree in computer science or software engineering.
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   Strong programming skills in Python (additional languages such as Java or C++ are a plus).
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   Basic understanding of AI/ML concepts and willingness to learn advanced techniques.
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   Strong communication and collaboration skills, a passion for coding, and an eagerness to take on new challenges.
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  Academic Courses Or Previous Intern Work
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   You have taken an Artificial Intelligence course that has introduced you to classic AI search, reasoning, basic neural methods, and probabilistic reasoning.
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   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.
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   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.
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   You have taken a course or had a previous internship that has provided you exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
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  Why This Internship Is Unique
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   Direct Access to Senior Leadership: Work closely with FTI&rsquo;s CTO and our AI Technologist who will provide both mentorship and guidance.
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   Impactful, Mission-Focused Work: Contribute to projects that support national defense and make a real-world difference.
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   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

Johnson & Johnson Innovative Medicine

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
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 <br/>
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
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 Career Programs
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  Job Sub Function
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 Non-LDP Intern/Co-Op
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  Job Category
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 Career Program
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  All Job Posting Locations:
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 Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
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  Job Description
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 <strong>
  About Innovative Medicine
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 Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
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 Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
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   The Data Science Intern term is from May to August, 2026.
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   Full time requirement (40 hours per week).
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 <strong>
  Purpose
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 We are seeking a
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  highly motivated and innovative Data Science Intern
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 to support research and development initiatives focused on
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  foundation models for biologics manufacturing
 </strong>
 . This internship offers a unique opportunity to work closely with our
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  AI/ML and DPDS teams
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 to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.
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 By contributing to next generation AI/ML methodologies, this role will help improve
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  drug manufacturing robustness, process understanding, and supply chain decision making
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 .
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  You will be responsible
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   Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.
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   Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.
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   Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.
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   Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.
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   Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.
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  Requirements
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   Completion of Undergraduate Freshman year at an accredited University is required.
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   Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.
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   Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
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   Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.
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   Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).
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   Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.
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   Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams
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 Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
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 The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension).
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 For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/25/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
 <br/>
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 Ineligibility for severance.
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 Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
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 Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
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  Required Skills
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  Preferred Skills:
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  The anticipated base pay range for this position is :
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 </strong>
 $23.00/hr to $51.50/hr
 <br/>
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 <strong>
  Additional Description For Pay Transparency
  <br/>
  <br/>
 </strong>
 The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on [7/31/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
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Data Science Intern

Micron Technology

<div><p><b>Our vision is to transform how the world uses information to enrich life for </b><b><i>all</i></b><b>.
</b></p><p>Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.</p><p></p><h3 class="jobSectionHeader"><b>
The GQ Reliability Methods Statistics Group is seeking a highly motivated Summer Intern to support reliability evaluation, control, and advanced statistical research. The intern will work closely with members of the Reliability Methods Statistics team as well as cross-functional partners to gain hands-on experience with real-world reliability processes, statistical modeling, and emerging AI-based solutions.</b></h3><h3 class="jobSectionHeader"><br>
<b>
This internship offers a strong learning opportunity for students interested in applying statistics, data science, and AI/ML to practical engineering and reliability problems.</b></h3><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Collaborate with team members within the GQ Reliability Methods Statistics Group and with cross-functional teams.</li><li>
Learn and support the group&rsquo;s routine work in <b>reliability evaluation and reliability control</b>.</li><li>
Study and research <b>reliability statistics and modeling methods</b> used in practice.</li><li>
Explore, prototype, and evaluate <b>AI/ML-based solutions</b> to enhance existing reliability processes and methodologies.</li><li>
Conduct independent research tasks, summarize findings, and present results to the team.</li><li>
Document analyses, models, and insights in a clear and structured manner.</li></ul><div><h3 class="jobSectionHeader"><b>
Minimum Qualifications</b></h3><ul><li>
Currently a <b>senior undergraduate (BS)</b> or <b>graduate student (MS)</b>.</li><li>
Field of study in <b>Statistics, Data Science, Computer Science, Electrical Engineering</b>, or a closely related discipline.</li><li>
Background in <b>mathematical and/or statistical modeling</b>.</li><li><b>
Good scripting and programming skills</b> using <b>Python, JMP, and/or R</b> for data analysis, modeling, or automation.</li><li>
Exposure to <b>AI/ML techniques</b> through academic coursework, research projects, or prior work experience.</li></ul></div><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Hands-on experience with statistical analysis, modeling, or reliability-related projects.</li><li>
Familiarity with machine learning workflows, data-driven modeling, or AI-assisted analysis.</li><li>
Experience working on research-oriented or open-ended projects.</li></ul><p></p><p>
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.</p><p></p><p>
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.</p><p></p><p><br>
To learn more about Micron, please visit<b> </b><b>micron.com/careers</b></p><p></p><p>
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)</p><p></p><p>
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.</p><p></p><p>
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.</p><p></p><p>
AI alert<b>:</b> Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
</p><p></p><p>Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</p></div><p></p>

Intern - GQ Reliability Methods

Johnson & Johnson

<div><p>At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com</p><p>
As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.</p><p><b>
Job Function:
</b></p>Career Programs<p><b>
Job Sub Function:
</b></p>Non-LDP Intern/Co-Op<p><b>
Job Category:</b></p>
Career Program<p><b>
All Job Posting Locations:</b></p>
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America<p><b>
Job Description:</b></p><h3 class="jobSectionHeader"><b>
About Innovative Medicine
</b></h3><p>Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.</p><p>
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
</p><ul><li>The Data Science Intern term is from May to August, 2026.</li><li>
Full time requirement (40 hours per week).</li></ul><h3 class="jobSectionHeader"><b>
Purpose:</b></h3><p>
We are seeking a <b>highly motivated and innovative Data Science Intern</b> to support research and development initiatives focused on <b>foundation models for biologics manufacturing</b>. This internship offers a unique opportunity to work closely with our <b>AI/ML and DPDS teams</b> to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.</p><p>
By contributing to next generation AI/ML methodologies, this role will help improve <b>drug manufacturing robustness, process understanding, and supply chain decision making</b>.</p><h3 class="jobSectionHeader"><b>
You will be responsible</b></h3><ul><li>
Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.</li><li>
Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.</li><li>
Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.</li><li>
Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.</li><li>
Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Completion of Undergraduate Freshman year at an accredited University is required.</li><li>
Currently <b>pursuing</b> a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.</li><li>
Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.</li><li>
Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.</li><li>
Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).</li><li>
Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.</li><li>
Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams</li></ul><p>
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.</p><p>
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension).</p><p>
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/25/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.</p><p>
Ineligibility for severance.</p><p>
Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.</p><p>
Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.</p><h3 class="jobSectionHeader"><b>
#LI-Hybrid</b></h3><p><b>
Required Skills:</b></p><p><b>
Preferred Skills:</b></p><p><b>
The anticipated base pay range for this position is :</b></p>
$23.00/hr to $51.50/hr<p>
Additional Description for Pay Transparency:</p>
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on [7/31/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.</div>

Capital Rx

<div>
 <strong>
  About Judi Health
  <br/>
  <br/>
 </strong>
 Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range
 <br/>
 <br/>
 $35&mdash;$40 USD
 <br/>
 <br/>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  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.
  <br/>
  <br/>
 </em>
 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>


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