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Machine Learning PhD Intern: Spring 2027
- Pay
$60–65/hour — pay source
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.
Read the full posting- Work setting
Hybrid — work setting source
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.
Read the full posting- Employment
Part-time · Internship — employment source
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. 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.
Read the full posting
Before you apply
- New graduates
- For current students
Job title: Machine Learning PhD Intern: Spring 2027
What you’ll work on
Full postingDesign, build, and evaluate LLM/VLM agents and workflows
Create proofs-of-concept for real applications of foundation models
Own projects from idea to result
From the employer’s posting
You’ll design, build, and evaluate LLM/VLM agents and workflows
create proofs-of-concept for real applications of these foundation models
Self-driven researcher who has owned projects from idea to result
What you’ll bring
All qualificationsCore experience
- PhD student in ML, CS, EE, or related field focused on foundation models
- Hands-on Python and PyTorch experience
- Experience with PEFT/LoRA, HuggingFace, or LangGraph or similar
- Experience with image data and complex datasets
Qualification wording
PhD student in Machine Learning, Computer Science, Electrical Engineering, or a related field, with a focus on foundation models
Hands-on experience with Python/PyTorch
tools such as PEFT/LoRA, HuggingFace, or LangGraph (or similar)
Experience with image data and complex datasets (multimodal, richly labeled, or requiring substantial preprocessing)
Education & alternatives
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 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.
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. 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.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Elucid is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- S3
- SageMaker
- Hugging Face
- PyTorch
Where the posting names them
- 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.
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
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.
This is a role for someone who is a:
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.
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.
- 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.
----------------------------------------------------
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.
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!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Boston, MA
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.
More source context
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. 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.