Contribute to clinical deep learning products by architecting, training models, and designing datasets for medical applications.
About the Role
Be a core contributor to clinical grade deep learning products
Architect key components of the deep learning platform
Train robust and interpretable deep learning models for impactful medical tasks
Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions
Build full stack deep learning solutions from research to deployment
Requirements
MS/PhD in Computer Science, Electrical Engineering, Bioinformatics, Statistics, Biomedical Data Science
1-2 first author research papers at top conferences or journals
Top Skills
Deep Learning
Medical Datasets
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Product Designer will lead design initiatives, collaborating with Product and Engineering, engaging with customers, and influencing design strategies to improve user experiences across various industries.
Top Skills:
Ai ToolsFigmaPrototyping Tools
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
Lead the engineering team to build stablecoin infrastructure, integrating blockchain and financial systems while ensuring secure and scalable architecture.
Top Skills:
BlockchainC#C++Fx SystemsJavaKotlinPythonRust
Artificial Intelligence • Machine Learning • Software
The Regional Account Executive will drive sales of mabl's Test Automation Platform, manage the sales process, and develop new business opportunities through outreach and demos.
Top Skills:
Cloud ComputingSaaSSalesforce
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
