Machine Learning PhD Intern: Spring 2027
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Before you apply
Salary$60 – $65/hr
LocationBoston, MA
Work modehybrid
Typeinternship
SeniorityEntry
Company size51–200 people
First seenNov 7, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
PhD student in Machine Learning, Computer Science, Electrical Engineering, or a related field, with a focus on foundation models and an interest in healthcare technology
Self-driven researcher who has owned projects from idea to result and enjoys turning ambitious concepts into working proofs-of-concept
Clear communicator who works well on a team, partnering with engineers, project managers, and clinical staff
Hands-on experience with Python/PyTorch and tools such as PEFT/LoRA, HuggingFace, or LangGraph (or similar) for model development, fine-tuning, and agentic workflows
Experience with image data and complex datasets (multimodal, richly labeled, or requiring substantial preprocessing)
AWS experience with EC2, S3, or SageMaker is a plus
Biomedical or volumetric data like DICOMs is a plus
Cardiovascular imaging is best of all
Substantial publications in the domain of LLMs or VLMs preferred
Experience with human-in-the-loop training, RLHF, or tools like nnInteractive and experience working in an FDA-regulated environment are a plus
Skills
Python
PyTorch
PEFT
LoRA
HuggingFace
LangGraph
AWS
EC2
S3
SageMaker
DICOMs
Help us in our mission to prevent heart attacks and strokes. Be part of the Elucid team and contribute to groundbreaking advancements in the prevention of cardiovascular disease.
As we grow rapidly, we encourage you to check back for new opportunities! *********************************************
Please note the following:
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Initial Outreach: We will reach out to you by phone or text if we see a fit.
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How We Interview: We conduct interviews in person, by phone, or via video conferencing—no messaging apps.
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No Recruiter Submissions: We’re not accepting resumes from recruiters at this time. Please apply directly through our careers page.
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Responsible AI Use: We want you to be who you say you are. Feel free to use AI but be prepared to support all of your application materials with real experience if we have the opportunity to talk.
Machine Learning PhD Intern: Spring 2027
Boston, MA
Internship
Student (College)
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We are a rapidly growing, Boston-based medical technology company using AI to enable clinicians to make informed decisions on cardiovascular care - leading to better patient outcomes, improved quality of care, and reduced healthcare costs. Come work at Elucid and be part of delivering on our mission to prevent heart attacks and strokes!
This role is hybrid and based out of our Boston office, open to local PhD candidates.
As a leader in cardiac CT imaging, we’re exploring how large language models (LLMs) and vision-language models (VLMs) can improve patient outcomes, make life easier for clinicians and analysts, and even power entirely new products. We’re looking for a motivated PhD-level intern to help us find out. You’ll design, build, and evaluate LLM/VLM agents and workflows, and create proofs-of-concept for real applications of these foundation models. Your work may have the opportunity to join our existing product suite or brand-new standalone product, or lead to publication with our team. If you’re excited to bring foundation model research into clinical care, this is a great opportunity to work at the intersection of innovation and commercial application.
This is a part-time internship (with the option for more full-time hours) starting in January 2027, with at least two in-office days a week on Monday and Wednesday. Our sunny, spacious office is located in the heart of Boston, next to Boston Common.
Requirements
This is a role for someone who is a:
•
PhD student in Machine Learning, Computer Science, Electrical Engineering, or a related field, with a focus on foundation models and an interest in healthcare technology.
•
Self-driven researcher who has owned projects from idea to result and enjoys turning ambitious concepts into working proofs-of-concept.
•
Clear communicator who works well on a team, partnering with engineers, project managers, and clinical staff.
With these skills and experiences:
•
Hands-on experience with Python/PyTorch and tools such as PEFT/LoRA, HuggingFace, or LangGraph (or similar) for model development, fine-tuning, and agentic workflows (AWS experience with EC2, S3, or SageMaker is a plus).
•
Experience with image data and complex datasets (multimodal, richly labeled, or requiring substantial preprocessing). Biomedical or volumetric data like DICOMs is a plus, and cardiovascular imaging is best of all.
•
Substantial publications in the domain of LLMs or VLMs preferred.
•
Experience with human-in-the-loop training, RLHF, or tools like nnInteractive and experience working in an FDA-regulated environment are a plus.
Salary: $60-$65/hour for up to an estimated 20 hours a week.
At Elucid, we believe the best work happens in a flexible hybrid environment. Boston-area employees are encouraged to work from the office on Mondays and Wednesdays, with the option to come in additional days if they prefer. Fully remote employees outside the Boston area come in as needed.
Legal
We are an equal opportunity employer and value diversity at Elucid. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
We understand that self-doubt can sometimes prevent great candidates from applying. If you believe you can make an impact at Elucid, even if you don’t meet every qualification, we encourage you to apply!
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