Job Opportunity: Senior Deep Learning Scientist - SWEDEN
Location: Gothenburg, Sweden (3 days per week onsite) - MANDATORY
Contract: 6 months / Freelance
Role Overview:
Join us as a Senior Deep Learning Scientist where you will drive innovation in predictive toxicity modeling using cutting-edge deep learning techniques. You'll collaborate with cross-functional teams to implement advanced models that impact patient outcomes.
Key Responsibilities:
- Perform detailed exploratory data analysis for image and tabular datasets.
- Enhance model performance through feature engineering and augmentation techniques.
- Develop segmentation pipelines for multi-dimensional image data.
- Build deep learning models for predicting toxicity with confidence intervals.
- Collaborate closely with teams to integrate models into existing workflows.
- Optimize computational resources and deploy models efficiently.
Preferred Experience:
- Experience with Contrastive learning (e.g., DINO, SimCLR) for images.
- Familiarity with transformer-based architectures like TabTransformer for tabular data.
- Proficiency in PyTorch Lightning and PyTorch for model development.
- PhD in machine learning, computer science, math, or physics.
- Strong publication record in top-tier conferences or journals.
- Hands-on experience in training, debugging, and deploying deep learning models.
Please apply if interested and we will reach out with more information!