Job Description

Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer/Scientist to join our team with relevant academic experience and deep industry experience. A successful candidate will be able to manage and lead a team and projects, as well as coordinating with signal processing, clinical data and product teams. The candidate should be able to build on previous work, and have a collaborative team spirit. Specifics of the opportunity include:

Responsibility

• Lead all development and deployment of deep learning and machine learning models in tensorflow and pytorch
• Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
• Apply custom hyper parameter tuning methods
• Work directly with a team of data scientists and signal processing engineers
• Influence feature engineering and signal processing, and coordinate for optimal mining with AI
• Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
• Adopt state of the art algorithms and models for that include multi-instance learning strategies, attention and GANs
• Plan for deployment of all models in Oncoustics future apps
• Participate in FDA planning and clearance of algorithms

Requirements

• Graduate degree in a related field, and relevant undergraduate
• 5+ years at least of industry experience in the development and deployment of AI/ML models for health care
• Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
• Deep Learning architecture design: Experience with attention mechanisms, multi-instance learning and/or GANs

Good To Have

• PhD/graduate work in machine learning/machine vision
• Expertise in medical imaging analysis or signal processing with AI
• Experience in the use of ultrasound
• Prior experience with FDA clearance of AI/ML algorithms