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. #J-18808-Ljbffr