Transform drug discovery with Valence Labs as a Senior Machine Learning Engineer specializing in LLM systems. Engage in groundbreaking research and meaningful projects that improve lives.

In this impactful role, you will develop and implement cutting-edge LLM applications, working closely with researchers and scientists. You will deploy systems that utilize advanced ML methods to enhance scientific understanding and operational workflows. A robust technical background combined with a passion for machine learning is crucial.

Key Responsibilities:
• Lead the development of LLM-based applications in drug discovery
• Collaborate with scientists to refine and improve models
• Design Retrieval-Augmented Generation systems with vector databases




• Create novel machine learning methodologies and frameworks
• Engage with open-source libraries and contribute to community initiatives

Requirements:
• PhD or Master's with a minimum of 3 years experience
• Expertise in Python and software development practices
• Proven experience with LLM applications and systems
• Strong analytical skills and understanding of scientific content
• Knowledge of deep learning and mathematical foundations

Leverage your machine learning expertise to contribute significantly to transformative scientific research at Valence Labs.
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📌 Senior Machine Learning Engineer - Drug Discovery (Quebec City)
🏢 Valence Labs
📍 Quebec City