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 solid 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 - Robust 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.#J-18808-Ljbffr

📌 Senior Machine Learning Engineer Drug Discovery Winnipeg (Canada)
🏢 Valence Labs
📍 Canada