Senior Machine Learning Engineer

About Altis Labs

Altis Labs is the computational imaging company advancing precision medicine with AI. We believe that medical imaging is the richest data modality to generate clinical insight. Scientists use our AI-powered software platform, Nota, to accelerate clinical research by more accurately measuring the effect of novel treatments. Trained on over 222 million images with associated clinical information, our deep learning models hosted on Nota predict clinically meaningful outcomes. Legacy data interpretation methods have confined scientists to slow, risky, and expensive drug development requiring more than $2 billion and 10 years to get a new treatment to patients in need.

Our multi-disciplinary team of data scientists, engineers, clinicians, and business operators is on a mission to help get the most effective treatment to patients sooner.

Founded in 2019, Altis is a venture-backed company headquartered in Toronto. We are actively growing our team in Canada and the US across functional areas.

About the Position

Altis is recruiting a Senior ML Engineer with a passion for building production-grade ML applications that improve patient care. At Altis you will leverage the largest research-grade cancer imaging database to train and deploy computer vision models for real-world clinical challenges, as well as learn from experienced professionals in our cross-functional team.

This is a full-time position with the option to work remotely or on a hybrid basis at our office in Toronto. We expect responsibilities will be dynamic and expand as we strive to meet our team’s and clients’ needs.

Responsibilities & Expectations:

Work with a multi-disciplinary team of clinicians, software engineers, data scientists, and business professionals to solve complex problems

Build and maintain a scalable machine learning infrastructure for model training and deployment

Build and debug state of the art machine learning computer vision models for survival prediction, segmentation, and classification problems

Develop novel labeling strategies to generate training data at scale by leveraging our network of radiologists

Present your work to clients and publish in journals and at conferences

Qualifications:

5+ years of industry experience during which your code and ML models were used in a production environment

5+ years of model prototyping experience in PyTorch/TensorFlow/Theano

Strong programing skills in languages including Python and C++

Experience with cloud-based frameworks including AWS, GCP or Azure

Experience with Git, or equivalent version control system

Experience with test-driven development and common software test frameworks

Strong written and verbal communication skills in English

Nice to have:

Experience with Kubernetes, Kubeflow or other associated MLOps tools

Experience in the medical domain including DICOM and other imaging modalities

Experience building deep learning models on 3D data

Experience using statistical tools such as R

Benefits

Competitive pay and generous equity participation

Coverage for medical, vision, and dental insurance

4 weeks of vacation per year

Flexible work organization and access to remote work