Arbetsbeskrivning
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
We are an agile team dedicated to developing innovative machine learning solutions that enhance cancer treatment. As a member of the ML Imaging team, you will contribute to building state-of-the-art deep learning models for medical image analysis, including image segmentation. These models are already making a significant difference, being used daily in hundreds of clinics worldwide to improve patient care.
In this role, you will focus on developing tools that support deep learning model development and inference. Your responsibilities will include working on data management systems, GPU-server infrastructure, and creating monitoring tools to facilitate model training. You will also play a key role in building and optimizing Python libraries used for training and testing deep learning models.
Your Profile
We are looking for a skilled software developer with a passion for programming and a keen interest in algorithms, machine learning, and software development for healthcare. If you thrive on building innovative solutions and enjoy collaborating within a team committed to making a real-world impact, this position is for you.
Requirements
• Ph.D. or M.Sc. in computer science, machine learning, or equivalent.
• 5+ years of experience in software development.
• Strong programming skills in Python.
• Experience with:
• • Python libraries such as pandas and numpy.
• • Web frameworks like Flask and FastAPI.
• • Databases, including Postgres and SQL Server.
• • UNIX environments, Docker, and deployment best practices.
Meriting
•
• • Proficiency in C#, C++, or CUDA.
• • Experience with ML frameworks like PyTorch, TensorFlow, or TensorRT.
• • Knowledge of systems for orchestration.
• • Experience with AWS services such as EC2 and SageMaker.
Our Culture
Culture at RaySeach is the driving force behind our organization, where everything we do is driven by a shared passion for innovation and the fight against cancer. Our dedication is reflected in our ability to deliver exceptional results, pay close attention to detail, and consistently go the extra mile. Our employees stand out as experts in their field, driven by a relentless focus on solving problems - no matter how complex. At RaySearch, we take pride in leading the way in cancer treatment, leveraging cutting-edge technology to develop innovative solutions that make a real difference in patient care.
Our Offer
At RaySearch, we offer a diverse and inclusive work environment, fostering openness, sincerity, and collaboration. Located in Hagastaden, Stockholm's Life Science Hub, our modern and creative workspace includes an in-house gym, yoga, and social activities like ping pong, table football, and regular after-work events. Our bistro serves a fantastic lunch buffet, and we offer morning- and afternoon-fika every day. Our rooftop terrace also provides a stunning 360-degree view of Stockholm, enhancing the work experience. All of this comes attached with a competitive compensation and benefits package.
Application
Please apply for the position through the application form below. We do not accept applications by e-mail. Please note that we are approaching the holiday season. A response to your application may be delayed until January.