Deep Learning Specialist

Job Title: Senior Deep Learning Scientist

Job Location: Sweden Gothenburg (Hybrid work)

Job Type: Contract(3 months) + Extendable depends on project.

Role Overview

As a Senior Deep Learning Scientist, you will play a pivotal role in developing and implementing advanced models for multimodality data to predict the toxicity of compounds, ultimately impacting patient outcomes. You will leverage cutting-edge deep learning techniques and work on a range of responsibilities to ensure the effectiveness and accuracy of the models.

Key Responsibilities

• Perform in-depth exploratory data analysis for both image and tabular datasets.

• Conduct feature engineering to enhance model performance.

• Implement augmentation techniques to enhance the robustness of model.

• Handle batch correction for both image and tabular data to improve model performance.

• Handle multi-dimensional image data and develop segmentation pipelines to extract individual cells from images.

• Build deep learning models capable of predicting toxicity with confidence intervals.

• Collaborate with cross-functional teams to integrate deep learning models into existing workflows.

• Develop and maintain documentation for model processes and findings.

• Present research findings and updates to stakeholders.

• Optimize computational resources and improve model efficiency.

• Deploy models in platform of interest.

Preferred Experience

• Prior experience with Contrastive learning approaches such as DINO, SimCLR, BYOL for images.

• Familiarity with transformer-based architectures for tabular data, such as TabTransformer.

• Proficiency in PyTorch Lightning and PyTorch for model development and training.

• Hands-on experience in designing, training, and deploying advanced deep learning models.

• Theoretical understanding of deep computer vision models, including image classification, segmentation, multi-modality models, diffusion models, and large language models.

• PhD in machine learning, computer science, math, or physics.

• Established track record of publications in top-tier conferences or journals.

• Hands-on experience in training, debugging, and deploying deep learning models.

• Proficient coding skills in machine learning products, not limited to research prototypes.

• Motivated to stay updated with the latest research in deep learning and contribute to product improvement.

• Strong problem-solving skills and the ability to work independently.

• Excellent communication skills to effectively convey technical concepts to non-technical stakeholders.

• Hands-on experience in designing, training, and deploying advanced deep learning models.

• Theoretical understanding of deep computer vision models, including image classification, segmentation, multi-modality models, diffusion models, and large language models.

• Motivated to stay updated with the latest research in deep learning and contribute to product improvement.

• Strong problem-solving skills and the ability to work independently.

• Excellent communication skills to effectively convey technical concepts to non-technical stakeholders.

Deep learning, ML, model building