Deep Learning Engineer - BIO

Remote/Hybrid
USA / Remote

Are you interested in breaking in to the Bio AI space but no direct experience in the Bio arena? We're looking for exceptional Researchers and Engineers to make the jump. 
  
We've partnered with a cutting-edge AI solutions company in the areas of deep learning and reinforcement learning across research and development. They partner with the likes of Nvidia and Google and they are set to be a growing powerhouse moving forward and this is an excellent opportunity to get in at an earlier stage. As a scale up, they have multiple offices around the world you will be growing an established team in the US.
  
As a Deep Learning Engineer, you will work alongside some of the brightest minds within Deep Learning & AI that come from the likes of Oxford, Cambridge, and MIT (not essential). You will collaboratively work with them and others across the globe in researching and solving Deep Learning around graph neural networks applied to Healthcare. You will see your research have direct real-world applications in these areas for social good that has already impacted millions of lives and helped saved lives. 
  
For example, they’re currently working with a healthcare provider on various algorithms to help improve the fight against cancerous diseases, you'll be working on some of the most challenging and relevant problems. You'll the be given the latest hardware from Nvidia to ensure you can accomplish this. 

Responsibilities & Requirements
- Build start-of-the-art algorithms based on advanced deep learning methodologies
- Write high-quality, maintainable and modular code
- Demonstrate previous work within deep learning such as NLP / graph neural networks from both an industry or academic background
- Data analysis & statistical modelling to improve models.
- Other areas of deep learning also considered
- HealthCare/Bio is desirable but not essential 

This company is an equal opportunity employer and value diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

** If you're interested in this opportunity, please submit your CV via the link provided **

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