Principal ML Research Engineer

Boston, MA, United States

Would you like to work in a job that is making a difference for millions of people? If so, keep reading to learn more about Elucid.

We are a rapidly growing, Boston-based medical technology company using AI to help clinicians make more 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.

*** While the position is listed in Boston, MA we are accepting resumes from candidates in the continental US, eastern time zone preferred***

We’re looking for a Principal ML Research Engineer to help build and extend this unique, revolutionary product. This role is ideal for experienced candidates with a background in biomedical image understanding, especially in or near the cardiovascular space, and interest in ML/DL for healthcare generally. You will work with modern DL techniques (e.g. self- and semi-supervised learning, transformers, generative AI, foundation models, novel architectures) and frameworks (PyTorch), and help implement our models on our powerful GPU cluster.

Responsibilities:

Research original solutions in the cardiovascular healthcare space.

Create, test, and optimize deep learning models.

Collaborate with clinical team members to ensure data quality and model validity.

Help build the data pipeline, and help integrate deep learning models into a production environment.

Would you like to work in a job that is making a difference for millions of people? If so, keep reading to learn more about Elucid.

We are a rapidly growing, Boston-based medical technology company using AI to help clinicians make more 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.

*** While the position is listed in Boston, MA we are accepting resumes from candidates in the continental US, eastern time zone preferred***

We’re looking for a Principal ML Research Engineer to help build and extend this unique, revolutionary product. This role is ideal for experienced candidates with a background in biomedical image understanding, especially in or near the cardiovascular space, and interest in ML/DL for healthcare generally. You will work with modern DL techniques (e.g. self- and semi-supervised learning, transformers, generative AI, foundation models, novel architectures) and frameworks (PyTorch), and help implement our models on our powerful GPU cluster.

Responsibilities:

Research original solutions in the cardiovascular healthcare space.

Create, test, and optimize deep learning models.

Collaborate with clinical team members to ensure data quality and model validity.

Help build the data pipeline, and help integrate deep learning models into a production environment.

The ideal candidate will have: PhD in machine learning, computer science, mathematics, statistics or related quantitative field.

At least 3 years of prior experience developing ML applications in industry in the computer vision or biomedical image understanding (preferred) space. This work has resulted in publications, been integrated into product, or similar.

6+ years overall experience developing ML algorithms.

2+ years Python experience.

Familiarity with Python-based deep learning frameworks (ideally PyTorch, but others ok too).

Familiarity with modern MLOps tools like Weights & Biases, MLFlow, Neptune, etc.

Familiarity with git and medium- to large-scale software development.

Preferred Experience, not required: Deep understanding of cardiac physiology, with DL work in this space a major bonus.

Experience working in an FDA-regulated environment.

Experience with graph neural networks and graph ML generally.

Experience with generative AI, in particular diffusion models.

Experience with Foundation Models (LLMs, LMMs, LVMs)

Experience with optimization, e.g. Bayesian Optimization or Convex Optimization.

C++ coding experience.

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At Elucid, we believe the optimal balance is found in a hybrid work setting. Boston-area employees are strongly encouraged to be in-person on Mondays and Wednesdays, with the option to come in as many days as they’d like. Fully remote employees, who live outside the greater Boston area, come in as needed.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We know imposter syndrome and the confidence gap can get in the way of meeting great candidates. Even if you don't check every box, but see yourself contributing, please apply.

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