Job Summary: 

We are looking for a Machine Learning Engineer to join our team and contribute to the development and deployment of AI models in the realm of digital pathology. The ideal candidate should possess experience in computer vision and AI model development, especially within the healthcare domain.

Essential Duties and Responsibilities: 

• Processing raw data, leverage Python to train AI models (including CNNs, Transformer models, GNNs, etc.), and rigorously validate the results.

• Manage databases efficiently and deploy AI models for on-demand usage.

• As demand for our solutions grows, you'll contribute to scaling hardware resources to meet the increasing customer needs.

• Work closely with our computer software engineering team to improve and optimize our digital pathology viewer.

• Remain up to date with the latest advancements in machine learning and maintain a strong understanding of state-of-the-art ML practices to ensure our solutions remain cutting-edge and effective.

Technical Skills Required: 

We require high-level proficiency in Python and PyTorch or other relevant ML modules. A solid grasp of computer vision, particularly as it pertains to digital pathology. Your project management and leadership skills will play a pivotal role as we aim to rapidly expand our operations.

Required Background: 

We're seeking candidates with a proven ability to collaborate effectively within teams on complex projects. It's crucial that you have experience working with diverse machine learning model types, and a Bachelor's degree in computer science, data science, machine learning, or a related field, with a preference for candidates holding a Master's or PhD.

Desired Skills and Background: 

We highly value candidates with healthcare AI experience. Familiarity with medical imaging and pathology is a significant advantage. Strong leadership qualities for guiding teams, project management skills, a willingness to adapt and learn, and effective communication across diverse backgrounds are qualities that will truly stand out. Good code documentation practice and organization is also highly desired.

Location:

Vancouver, BC.  While we are primarily a remote company, there is an expectation to be able to travel to Vancouver for in person meetings on occasion.