About us
IDOVEN is a health tech startup seeking to prevent cardiac disease through AI. With our breakthrough AI-based electrocardiogram analysis platform, we work with physicians and healthcare leaders to enable early detection and diagnosis at scale.
This is a unique opportunity. With the backing of the best investors in the industry, the European Innovation Council (EIC) and Horizon 2020 European Commission, you'll have the responsibility and resources to shape the creation of a game-changing product that can save millions of lives.
Our technology is recognized with the European Seal of Excellence, supported by EIT Health (a network of best-in-class health innovators backed by the EU), and received the Healthy Longevity Catalyst Award from the U.S. National Academy of Medicine. In 2021, we were awarded at South Summit as Most Disruptive Startup and Best Health Startup. We are one of the most promising European technology companies to watch.
About the role
We are seeking a highly motivated and innovative Deep Learning Specialist to lead the development and optimization of our AI-powered ECG analysis platform. This role demands deep expertise in deep learning modeling, with a proven ability to design and implement custom models from scratch. You will play a crucial part in advancing the state-of-the-art in cardiac diagnostics by exploring and implementing cutting-edge Deep Learning techniques.
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.
Desired Qualifications:
- 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.
Additional Skills
- 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.
At IDOVEN, we believe in hiring top talented people like you - ambitious, forward thinkers who want to make a difference in the world and have an impact. Apply now via the apply button or contact us via [email protected] .
๐ Be part of one of the most disruptive startups in HealthTech and AI and make a difference
๐ Personal and professional growth as part of a fast-growing, international team
๐ง No corners cut in having the best tech equipment to do your job
๐ Enjoy a 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!
๐ Learning and development opportunities and training budget
๐ธ Flexible Remuneration
๐ฉ๐ปโโ๏ธ Health Insurance
๐ Access to Wellhub (Gympass), empowering your physical and mental wellness!
๐ด 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!
๐ Regular team events and Thursday happy hours
And much more!
Top Skills
What We Do
Idoven is a health technology company advancing early detection and precision medicine for cardiovascular diseases. The Idoven AI-powered platform, certified as EU MDR Medical Device Class IIa, delivers substantial improvements to the speed, consistency and accuracy of electrocardiogram (ECG) interpretation. Its powerful, proprietary AI algorithms, which work with existing ECG devices, are also being applied to develop disease biomarkers towards patient identification, risk stratification and prognosis, as well as drug cardiac safety monitoring. Idoven partners with leading medical device and pharmaceutical companies on AI-driven innovations to develop a new standard of cardiovascular care.
Through exclusive partnerships and research collaborations, Idoven has developed one of the worldโs largest ECG databases and a deep learning system applied to cardiology. The Idoven software is designed to be integrated seamlessly into existing clinical and research workflows, to support clinician decision making and disease management.
Idoven has been awarded with numerous distinctions for its AI technology in Europe and the US, including the prestigious European Innovation Council (EIC) Accelerator and Horizon 2020 (H2020) awards and the Healthy Longevity Catalyst Award from the US National Academy of Medicine. The company is backed by top tier investors including Insight Partners, Northzone and Wayra (Telefรณnica), the Accel Starters programme, leading business angels and EIT Health.
Idoven is based in Madrid and was founded in 2018, following almost a decade of ground-breaking research. We are building the future of cardiovascular care, and we need the best minds from around the world to help us.
Interested in joining our team? Head to our careers page and apply at www.idoven.ai/jobs