Full-stack Software Engineer end-of-studies internship

As a Full-stack Software Engineer Intern at Raidium, your main responsibilities include designing and implementing both front-end and back-end components of the Raidium product, serving machine learning models and manipulating radiological images. You will also collaborate with ML Engineers to integrate advanced ML models into the system, ensuring high performance and accuracy while building the infrastructure to support rapid growth in user data.

To qualify for the Full-stack Software Engineer internship at Raidium, you should have a Master’s degree in Computer Science, Engineering, or a related field. Proficiency in full-stack development using programming languages such as Python and JavaScript, as well as experience with frameworks like FastAPI and React, is essential. Additionally, having a willingness to work in the healthcare industry and authorization to work in France is required.

Essential programming skills for the Full-stack Software Engineer Intern position at Raidium include proficiency in modern programming languages like Python and JavaScript. Familiarity with frameworks such as FastAPI for backend development and React for front-end development is important. Additionally, knowledge of database systems and coding best practices for ensuring code quality is crucial.

While not mandatory, experience with machine learning concepts and integrating ML models serves as a valuable asset for the Full-stack Software Engineer Intern role at Raidium. Familiarity with model serving technologies and knowledge of radiological images, such as DICOM and nifti, can also enhance your ability to contribute effectively in this innovative healthcare space.

Interns at Raidium can expect a wealth of benefits, including the opportunity to make a positive impact on people's lives through innovative technological advancements in healthcare. You'll be working alongside internationally recognized experts, have access to premium computing hardware, and enjoy competitive compensation. Plus, there's potential for conversion to a permanent position and a flexible remote working policy.

In your answer, highlight specific projects where you've utilized both front-end and back-end technologies. Discuss your proficiency in languages like Python and JavaScript, and mention any frameworks or libraries you've used, such as React or FastAPI, explaining how they contributed to successful project outcomes.

Discuss any past experiences where you have collectively worked with ML models and web application frameworks. Describe the architecture you used, tools for deployment, and how you ensure scalability and performance, emphasizing collaboration with data scientists or ML engineers.

Mention practices like implementing automatic testing, code reviews, and using tools for linting and typing. You might also discuss how you handle technical debt and foster a culture of quality within the development team, underlining the importance of code maintainability.

Outline your experience with cloud providers like GCP, AWS, or Azure, and any specific projects that involved deploying applications in the cloud. Make sure to emphasize your knowledge of cloud architectures and the benefits regarding scalability and data management in an ML context.

Prepare to detail a specific challenge you faced, your approach to solving it, the technologies you utilized, and the outcome. Be sure to illustrate your problem-solving skills and ability to remain calm and strategic under pressure, making sure to discuss the impact of your solution.

In your response, describe your strategy for keeping current with technology trends, such as dedicated time for online courses, attending workshops, or participating in hackathons. Emphasize your commitment to continuous learning and mention any relevant technologies you've recently explored.

Discuss the importance of teamwork in software development, highlighting how collaboration fosters creativity, problem-solving, and accountability. Share experiences where collaboration led to successful project outcomes and how you adapt your communication style to different team dynamics.

Explain your approach to prioritizing tasks and managing time effectively. Discuss strategies you've employed in past projects such as breaking tasks into smaller, manageable pieces, clear communication with teammates about progress, and being proactive in identifying potential delays.

Here, express your motivations for working in healthcare. You might discuss the opportunity to contribute to meaningful change in people's lives, your interest in technologies that improve health outcomes, and how your skills align with Raidium's mission.

Share your philosophy on user experience (UX), emphasizing the importance of user feedback and usability testing in your design process. Discuss any specific methodologies for gathering user insights and how you've applied this feedback to improve application interfaces.