R&D Intern - Software Engineering

As an R&D Intern - Software Engineering at Rapsodo, you will work with engineering teams on a variety of sports product research, design, and development tasks. Your contributions will include developing and maintaining Python applications, automating processes, conducting experiments, and performing data analytics to support innovative sports technologies.

Candidates for the R&D Intern - Software Engineering position at Rapsodo should be pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related fields. Proficiency in Python, along with strong analytical and communication skills, is essential. Experience in deep learning and familiarity with QA processes is also advantageous.

The R&D Intern - Software Engineering position at Rapsodo specifically requires strong programming skills and experience in Python. Familiarity with tools for deep learning and image processing will give candidates an edge in contributing to our groundbreaking projects.

As an R&D Intern at Rapsodo, you will gain hands-on experience by collaborating closely with senior engineers, engaging in real-life experiments, and working on state-of-the-art projects that involve the latest sports analytics technologies. This will provide you with a rich environment for learning and professional growth.

At Rapsodo, interns can expect a dynamic and fast-paced work environment that encourages collaboration, innovation, and personal development. You’ll be surrounded by passionate team players who value precision and creativity, fostering an atmosphere where you can thrive and make impactful contributions.

When answering this, focus on a specific project where you implemented Python effectively. Discuss the project's goals, your specific contributions, challenges faced, and the outcomes. This highlights your problem-solving skills and coding proficiency.

Explain your systematic approach to debugging, such as isolating the problem, using debugging tools, and testing solutions incrementally. This showcases your analytical thinking and understanding of application performance.

Share specifics about any projects or coursework related to deep learning, particularly focusing on your understanding of convolutional neural networks and how you’ve applied them. It demonstrates your technical knowledge and passion for AI.

Discuss your methods for time management and prioritization, such as using task lists or project management tools. Illustrate with an example that shows your ability to meet deadlines while producing quality work.

Explain the importance of quality assurance in ensuring software reliability and functionality. Discuss how you’ve implemented testing processes or contributed to QA efforts in past projects, showing your understanding of maintaining high standards.

Present a challenge you encountered during a project, outlining the context, your approach to overcoming it, and the eventual success. This reflects your resilience and problem-solving capabilities.

Share your routines for keeping up with technological advancements, such as attending webinars, following industry leaders on social media, or participating in online courses. This shows your enthusiasm for continuous learning.

Detail any relevant experiences where you've worked with data analytics, including the tools and methods you utilized for gathering insights. Illustrate how these experiences enhanced your understanding of data-driven decisions.

Discuss the importance of collaboration, communication, and shared goals in achieving project success. Offer an example where teamwork led to a more effective outcome, highlighting your interpersonal skills.

Convey your passion for sports technology and how Rapsodo's innovative approach aligns with your career goals. Share your excitement about contributing to a company focused on empowering athletes through cutting-edge analytics.