AI/ML Engineer
Vanguard
AWSCloudPythonPyTorchScikit-LearnTensorflow
Machine Learning Engineer II
PathAI
full-time
Posted on:
Location: Massachusetts, New York • 🇺🇸 United States
Visit company websiteJob Level
Junior
Tech Stack
NumpyPandasPythonPyTorchTensorflow
About the role
- Improve patient outcomes with AI-powered pathology; work on ML algorithms for histopathology, translational research, labs, and clinical trials.
- Work closely with biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy models.
- Independently execute machine learning model development for research and product projects following ML best practices.
- Understand product requirements in biological and clinical context and propose changes to model design, product requirements, or analysis plans.
- Demonstrate mastery of established and state-of-the-art ML methods and uphold ML team best practices.
- Engage with team governance, documentation, knowledge sharing, hiring and onboarding initiatives.
- Identify technical limitations of the platform and propose solutions for core problems in digital pathology.
- Contribute to scientific strategy via abstract submissions, manuscript preparation, and creation of external materials.
Requirements
- Master’s degree plus 1-2 years of professional experience or Ph.D in Computer Science or related field, preferably with a focus on artificial intelligence and machine learning.
- 1-2 years of experience in developing and deploying state-of-the-art machine learning and computer vision models in products/platforms.
- Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills.
- Strong analytical and quantitative skills.
- Familiarity with overall machine learning and computer vision model development lifecycle including data pipelines, model training, evaluation and deployment.
- Publications or research in fields related to artificial intelligence and biomedical science is preferred.
- Intellectual curiosity and the ability to learn quickly in a complex space.
