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 strong 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
- Solid 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.

📌 Senior Machine Learning Engineer - Drug Discovery (Montreal)
🏢 Valence Labs
📍 Montreal