Pay
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Machine Learning PhD Intern: Spring 2027
Boston, MA
Actively hiring, first seen by us today- 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 postingYou’ll design, build, and evaluate LLM/VLM agents and workflows, and create proofs-of-concept for real applications of these foundation models.
From the employer’s posting
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.
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 today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
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 Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.