Vara – Machine Learning Engineer

Vara · Berlin, Germany
Department Vara
Employment Type Full-Time

Machine Learning Engineer (m/f/d)


Full time – Berlin, Germany


 


Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? 


We are looking for an ambitious Machine Learning Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry.


What we do


At Vara, we aim to make high-quality diagnostic services accessible to and affordable for patients all around the world by applying machine learning on medical images. Our product Vara enables radiologists to reach superior diagnostic performance for the detection of  breast cancer. Our vision is that no human dies from a curable disease anymore.


Our team is made up of entrepreneurs, scientists, and engineers from top-tier companies and universities around the world. Many of us have PhDs and extensive research experience. We’re based in Europe’s startup capital, Berlin, and are growing!
Further information can be found on your website: https://www.varahealthcare.com. 


Your Responsibilities


You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise.


Your main responsibilities will include:


  • Research and building state-of-the-art deep learning models
  • Design terabyte-scale data pipelines
  • Data analysis, experiment design and clean evaluation
  • Learning about the medical domain to understand how to build better models
  • Clear communication of results in the team 


Your Qualifications


We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision.


Basic qualifications:


  • BA/BS in computer science or related technical field, or equivalent practical experience
  • Experience in applied machine learning and software engineering


The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk!


Preferred qualifications:


  • MSc or PhD in computer science, machine learning, or related technical field
  • Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging
  • Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker
  • Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure
  • Significant industry experience developing enterprise or data products
  • Background in deep learning, computer vision, NLP, or related fields 


What We Offer


  • We believe in personal ownership, flat hierarchies and direct communication, which means that we operate and learn fast - as a team;
  • We encourage a dynamic, results-oriented working environment: work from the office and/or balance your time working from home; 
  • We are driven researchers, developers and entrepreneurs who believe in building transformative solutions our customers can't live without;
  • We encourage our employees to continuously develop their skills at conferences, workshops, seminars or through other methods;
  • We have regular off-site events and team dinners;
  • We are an equal-opportunity employer and value broad diversity. We consider all applications equally, and can help with immigration.

Thank You

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  • Location
    Berlin, Germany
  • Department
    Vara
  • Employment Type
    Full-Time