INTERNSHIP: Master thesis: Benchmarking Sustainability in Frontier AI Models

The Role:

We are looking for a motivated and technically skilled Master student to define, integrate, and evaluate sustainability metrics for frontier AI models. This thesis will focus on building a reproducible benchmarking framework to measure the sustainability of frontier AI models across varying model scales and inference environments.

Key Responsibilities:

🔹 Define metrics for Sustainable AI in frontier AI models

🔹 Select and integrate tools to monitor and track these metrics

🔹 Design, implement, and execute benchmark to assess Sustainable AI metrics

🔹 Analyse benchmark results to identify patterns, trade-offs, and sustainability-driven optimizations

🔹 Document the framework, methodology, and findings for reproducibility and dissemination

Key Qualifications:

• Proficiency in Python
• Familiarity with PyTorch and Hugging Face Transformers

Preferred Qualifications:

• Understanding of Sustainable AI principles and metrics
• Familiarity with vLLM or NVIDIA TensorRT-LLM
• Experience with cloud environments and GPU acceleration
• Experience with Git and collaborative integration

Soft Skills:

• Proactive and solutions-oriented.
• Highly organized and process-driven.
• Strong interpersonal skills; ability to handle sensitive situations with empathy and clarity.
• Team player who thrives in a dynamic and fast-paced environment.

We are looking for exceptional individuals ready to build the infrastructure backbone for the future of AI. If you’re passionate about creating robust platforms that empower cutting-edge AI development, join us on our mission!

At Openchip & Software Technologies S.L., we embrace diversity and inclusion. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential – regardless of race, gender, ethnicity, sexual orientation, or gender identity.