Machine Learning Engineer

RaySearch develops innovative software solutions to improve cancer care. About 1000 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe, Asia and Australia & New Zealand. Today we are more than 380 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination.

RaySearch is expanding in the field of machine learning to improve cancer care and is looking for a machine learning engineer to join our head office in Stockholm. Joining our team provides you with a unique opportunity to innovate and develop software that improves the lives of cancer patients around the world.

About the position

You will be part of an agile team developing innovative solutions using machine learning (ML) algorithms to automate and support the process of improving future cancer treatments. As a member of the ML Planning team you will develop cutting-edge deep learning methods to accurately predict radiation dosage that will be deployed at cancer clinics. Your focus will be on the machine learning algorithms as well as on developing and improving the existing code base. You will work closely with domain experts, system developers and product owners as well as leading cancer centers to understand the end product and develop tools that will make a difference.

Your profile

We think that you are passionate about machine learning techniques and algorithms with a strong drive to develop and assess innovative solutions. Delivering high quality results is something you take pride in, and you thrive in a dynamic and fast paced environment. You are a strong team player who takes responsibility and contributes to a positive atmosphere and you are passionate about developing software for health care professionals and their patients.

Requirements:

• M.Sc. in computer science/machine learning or equivalent
• Excellent understanding of machine learning techniques and algorithms
• Strong programming skills in Python
• Experience using deep learning libraries such as TensorFlow or PyTorch
• Solid knowledge of data structures, statistics and applied mathematics
• Excellent spoken and written communication skills in English

Meriting:

• Experience using deep learning for computer vision
• Experience in model development: CNNs, RNNs, or relevant architectures for dose prediction.
• Experience using tools for MLOps

Application

Please apply for the position through the application form below. Selection and interviews will be ongoing. We do not accept applications by e-mail. If you have any questions about the position, please contact Jacopo Parivizi (Manager ML Planning).