Data Scientist

Summary

Join IDOVEN, a health tech startup using AI to prevent cardiac disease, as a Deep Learning Specialist. You will lead the development and optimization of our AI-powered ECG analysis platform, utilizing cutting-edge deep learning techniques. This role requires expertise in deep learning modeling and experience in production environments. You will collaborate with engineers and cardiologists to ensure clinical relevance and accuracy. Backed by leading investors, you'll contribute to a game-changing product with the resources and responsibility to make a significant impact. We offer a dynamic remote work setup, professional development opportunities, and a comprehensive benefits package.

Requirements

• Master's or PhD degree in a quantitative field with a focus on Deep Learning
• 3+ years of hands-on experience in developing, optimizing, and deploying Deep Learning models in production environments
• Strong understanding of signal processing techniques (e.g. audio or image processing)
• Experience with data balancing, model debugging, and performance optimization
• Hands on experience with a range of Deep Learning techniques, such as representation learning, self-supervised learning, and generative models
• Proficiency in TensorFlow or PyTorch
• Proficiency in Python, NumPy, Scikit-learn, and Pandas
• Excellent teamwork and collaboration skills, with the ability to contribute effectively within a team environment
• Ability to work independently and proactively, proposing solutions and taking ownership of projects
• Experience with code reviews, Git, and continuous integration practices

Responsibilities

• Continuously research and evaluate emerging Deep Learning techniques, including but not limited to representation learning, self-supervised learning, generative models, and novel neural network architectures, to enhance our existing models and develop new ones
• Analyze and improve the performance of existing Deep Learning models for ECG signal processing, focusing on enhancing accuracy, efficiency, and generalization capabilities
• Implement techniques for data balancing and augmentation to improve the robustness and reliability of our models
• Explore and apply model optimization techniques such as fine-tuning, distillation, and quantization to enhance efficiency and accuracy
• Contribute to the automation of data cleaning, preprocessing, and model training pipelines to accelerate development cycles
• Work closely with engineers and cardiologists to ensure the clinical relevance and accuracy of our AI solutions

Preferred Qualifications

• Knowledge of cloud computing platforms and distributed training
• Contributions to research publications or open-source projects in relevant fields
• Experience with processing of ECG signals

Benefits

• Dynamic remote work setup that allows you to connect with our Madrid office, giving you the freedom to work from home 70% of your week or more!
• Learning and development opportunities and training budget
• Flexible Remuneration
• Health Insurance
• Access to Wellhub (Gympass), empowering your physical and mental wellness!
• 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!
• Regular team events and Thursday happy hours