AIML Intern, Computer Vision

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

As guided by Our Credo Johnson & 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 & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Job Sub Function:

Job Category:

All Job Posting Locations:

Job Description:

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.

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 the role

We are seeking a motivated research intern to contribute to foundational R&D for large-scale multi-modal visual models applied to medical and clinical imaging. The role focuses on three broad generic research areas: (1) modular model architectures that enable specialization and efficiency through multiple subcomponents (2) predictive and alignment-based approaches that improve contextual and temporal understanding across images and videos and (3) improvements to representation-learning pipelines that make better use of unlabeled data and modality-specific preprocessing. Projects will involve medical imaging modalities such as histopathology X-rays endoscopy video and dermatology imaging.

Key responsibilities

• Design implement and evaluate scalable modular model architectures that allow specialization and efficient use of computation.

• Develop and test methods that learn richer contextual and temporal representations by predicting or aligning different views frames or modalities.

• Improve representation-learning pipelines by experimenting with data preparation strategies augmentation approaches training schedules and hyperparameter settings to increase robustness across modalities.

• Build reproducible training and evaluation workflows and run experiments at scale; maintain clear experiment logs and analyses.

• Measure model effectiveness on clinically relevant downstream tasks (e.g. classification detection segmentation retrieval temporal reasoning) and produce comparison reports and ablation studies.

• Collaborate with data engineers clinicians and researchers to curate and prepare datasets while following privacy and governance requirements.

• Produce well-documented code experiment artifacts internal reports and where appropriate contribute to technical write-ups or presentations.

What youll learn / deliver

• Hands-on experience designing and scaling foundation models for medical imaging.

• Practical skills in large-scale experimentation reproducibility and domain-specific evaluation.

• Deliverables may include reproducible code repositories experiment notebooks benchmark results ablation studies and a final research report or presentation. Strong contributions could lead to co-authorship on technical reports.

Required qualifications

• Currently pursuing or recently completed a Bachelors Masters or PhD in Computer Science Engineering Applied Mathematics or a related field.

• Strong programming ability (Python) and experience with common machine learning libraries.

• Solid understanding of machine learning and computer vision fundamentals and of how to train and evaluate models.

• Experience running experiments tracking results and performing basic troubleshooting and analysis.

• Strong written and verbal communication skills.

Preferred qualifications

• Prior research or project experience related to modular model design predictive/alignment methods for representation learning or representation learning using unlabeled data.

• Experience working with medical imaging or multi-modal visual data (including video) and familiarity with common preprocessing challenges.

• Experience with training models at scale and with experiment management practices.

• Understanding of clinical evaluation metrics and concerns around generalization and robustness in medical imaging.

• Publications open-source contributions or a portfolio demonstrating relevant work.

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.

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidates program year discipline degree and/or -Ops/Interns areeligible to participate in Company sponsored employee medical benefits in accordance with the terms of the -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 -Opsand Interns are eligible to participate in the Companys consolidated retirement plan (pension).

For additional general information on Company benefits please go to: job posting is anticipated to close on 03/16/2026. The Company may however extend this time-period in which case the posting will remain available on to accept additional applications.

Ineligibility for severance.

Johnson & 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.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via . Internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

Additional Description for Pay Transparency: