AI Research Scientist/Engineer

Responsibilities

• Participate in conceptualization and provide feedback to steer exploratory research.
• Design, prototype, and validate novel ML models to identify bugs, vulnerabilities, and code smells.
• Build hands-on prototypes to prove viability and scalability of research concepts.
• Drive evaluation of new AI-powered features, construct datasets, and implement benchmarks.
• Build and manage robust data pipelines for code-centric datasets.
• Collaborate with engineering and product teams to integrate AI prototypes into products.
• Articulate and document complex technical concepts and research findings.

Requirements

• Minimum 2 years of industry experience in AI.
• Exceptional programming skills in Python.
• Practical experience with modern AI/ML frameworks, LLMs, and integrating third-party or open-source AI tools.
• Proven experience in data handling, constructing datasets, and building benchmarks.
• Experience with modern LLM architectures and techniques.
• Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS).
• Experience driving research projects from ideation to prototype with autonomy.
• Excellent communication skills in English.

Nice to have

• Programming skills in Java.
• Experience with fine-tuning strategies (e.g., LoRA, QLoRA) and advanced prompt engineering.
• Experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines.
• Experience working with vector databases and semantic search.

What the company offers

• Opportunity to relocate to Geneva.