Machine Learning Scientist (Graduate/Postdoc Level) - Contract
- Toronto, ON, Canada
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
TORONTO - CONTRACT
Job Description
We're seeking a graduate student or postdoc in machine learning who’s eager to gain hands-on experience at a cutting-edge healthtech startup. You'll collaborate closely with leading professors, experienced scientists and developers, and successful entrepreneurs. An immediate start is preferred, with full-time availability through the summer. Part-time or flexible arrangements are also welcome.
Responsibility
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Job Description
We're seeking a graduate student or postdoc in machine learning who’s eager to gain hands-on experience at a cutting-edge healthtech startup. You'll collaborate closely with leading professors, experienced scientists and developers, and successful entrepreneurs. An immediate start is preferred, with full-time availability through the summer. Part-time or flexible arrangements are also welcome.
Responsibility
- Design, build, and debug new neural network architectures from scratch
- Adapt and optimize existing deep learning models for challenging data cases
- Diagnose and interpret model limitations using performance metrics
- Work with regression and classification models, including waveform/time-series signals and imbalanced datasets
- Implement strategies for individual frame-to-patient data aggregation
- Contribute to end-to-end ML pipelines, including training and evaluation
- Apply methods such as multi-instance learning, self-supervised learning, or contrastive learning
- Experience in coding, ideally Python and MATLAB
- Experience with ultrasound data or related domains (e.g., audio, non-destructive testing, geophysics)
- Ideally based in Toronto for Hybrid work at our Toronto Office, 155 Queens Quay East
- Familiarity with clinical data workflows or biomedical applications
- Motivated, driven, collaborative, and eager to learn and produce real-world results
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More about this job
Responsibilities
The candidate will design, build, and debug new neural network architectures and adapt existing deep learning models for challenging data cases. They will also contribute to end-to-end ML pipelines, including training and evaluation.
Requirements
Candidates should have experience in coding, ideally in Python and MATLAB, and familiarity with ultrasound data or related domains is a plus. A motivated and collaborative attitude is essential, along with a willingness to learn and produce real-world results.
Skills
- Machine Learning
- Neural Networks
- Deep Learning
- Python
- MATLAB
- Data Aggregation
- Performance Metrics
- Regression Models
- Classification Models
- Waveform Signals
- Time-Series Signals
- Imbalanced Datasets
- Multi-Instance Learning
- Self-Supervised Learning
- Contrastive Learning
Visa sponsorship
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Categories
- Technology
- Healthcare
- Science & Research
- Data & Analytics
- Engineering
Keywords
- Machine Learning
- Neural Networks
- Deep Learning
- Python
- MATLAB
- Data Aggregation
- Performance Metrics
- Regression Models
- Classification Models
- Waveform Signals
- Time-Series Signals
- Imbalanced Datasets
- Multi-Instance Learning
- Self-Supervised Learning
- Contrastive Learning
- Healthtech
- Biomedical Applications