| Company | Prenuvo |
| Job title | Senior Machine Learning Applied Scientist |
| Job location | Vancouver, British Columbia, Canada |
| Type | Full Time |
Responsibilities:
- Design, implement, and evaluate machine learning models for a variety of applications, with a focus on addressing challenges related to label noise, unsupervised learning, and diffusion denoising
- Collaborate with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build end-to-end analytics solutions that deliver actionable insights to our customers
- Stay up-to-date with the latest advances in machine learning and data science, and apply these techniques to our work as appropriate
- Participate in code reviews and help ensure that code quality and best practices are maintained across the team
- Work with cross-functional teams to ensure that our data science solutions are well integrated with other products and services
Requirements & Skills:
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, Physics, or a related field
- 5+ years of industry experience in machine learning or related field
- Strong background in machine learning, deep learning, and computer vision
- Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning
- Experience with label noise mitigation techniques, such as co-teaching or mentor-guided learning
- Familiarity with transformer-based architectures such as BERT or GPT
- Experience with diffusion-denoising techniques
- Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow
- Strong communication and teamwork skills
Nice to Have:
- Familiarity with cloud computing platforms such as AWS or Google Cloud
- Experience with medical imaging and/or healthcare data
- Strong publication record in top-tier machine learning or computer vision conferences/journals
