(Internship) Investigate the impact of AI-powered coding assistants on developer productivity, code quality, and time-to-market.
In this role
This internship offers an exciting opportunity for students to dive into the field of AI-powered coding assistants and investigate their impact on software development. Through conducting surveys, experiments, and data analysis, the intern will gain valuable experience in the areas of software engineering and machine learning.
It implies the following activities:
- Define clear metrics to measure developer productivity, code quality, and time-to-market.
- Analyze the tools available on the market and research similar studies
- Conduct a survey or survey-based study of developers to gather data on their experiences and perceptions.
- Develop a controlled experiment to compare the performance of developers using AI-powered coding assistants to those who are not.
- Analyze the data collected from the survey and experiment to identify trends and patterns.
- Draw conclusions and make recommendations for future work in the field of AI-powered coding assistants based on the findings of the study.
(* the objectives were generated by ChatGPT itself)
What we offer
- A dynamic work and collaborative environment with a highly motivated multi-cultural and multiples international sites team
- Personal development through training and coaching
- A flat hierarchy and a culture of collaboration across all disciplines
- The chance to make a difference in peoples’ life by building innovative solutions
- High innovation and research backed up by collaboration with universities like EPFL
- Various internal coding events (Hackathon, Brownbags), see our technical blog
- Monthly After-Works organized per locations
- Good life balance (41 working hours per week and possibility to work 2 days per week from home)
About your profile
- Software development: Python
- Interest for semantic interoperability and data models
- Interest for security: Zero-Trust, service mesh security (istio, kuma, …)
- Interest for distributed systems, cloud (Azure, AWS) and devops technologies (Docker, Kubernetes, K3s)