AI Engineer/Researcher Intern

Company Description

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,200 customers to provide better digital experiences to more than 15 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.

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Job Description

Your internship

Join our cutting-edge AI internship program and gain hands-on experience tackling real-world challenges in machine learning and artificial intelligence. Depending on the project, you will develop and optimize agentic AI systems, fine-tune open-source LLMs, enhance existing models with techniques like quantization and distillation, build gen-ai applications that produce actionable insights, or explore advanced methods such as reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO). This internship offers a unique opportunity to work at the forefront of AI innovation, equipping you with the skills to make a real-world impact.

What You will do

• Collaborate with Experts: Work closely with AI/ML researchers and software engineers to develop and optimize state-of-the-art AI applications.
• Innovate with Latest Technologies: Conduct research and experiments leveraging cutting-edge AI technologies, commercial and open source to find the best approach.
• Contribute to Development: Actively participate in evaluation, integration, and deployment of your solution in the nexthink platform.
• Communicate Your Insights: Present your findings and recommendations to the team and key stakeholders.

Qualifications

• MSc in Data Science, Computer Science, ML or a relevant field
• You have a good understanding of AI/ML, NLP, and LLM technologies and hands-on experience with software engineering.
• We expect most of the work to be done in Python. Knowledge of Java, Docker, and microservice technologies is a plus.
• You should possess strong problem-solving and analytical skills, a good team spirit, and the ability to collaborate efficiently.
• You should also have excellent communication and presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Professional level of written and spoken English skills are a must.