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Senior AI and Machine Learning Engineer

1 month ago

London, Greater London, United Kingdom BenevolentAI Group Full time

BenevolentAI: Revolutionizing Drug Discovery with AI

We're seeking a talented AI Scientist to contribute to our industry-leading AI models. At BenevolentAI, we harness the power of artificial intelligence and human expertise to push the boundaries of drug discovery.

Our unique computational R&D platform combines with our in-house pipeline of drug programmes, enabling us to develop new and more effective medicines.

As an AI Scientist, you'll perform research to develop state-of-the-art solutions around core problems we work on at BenevolentAI. Specifically, you'll focus on methods to address crucial challenges in end-to-end drug discovery, such as using multimodal data to identify the best target to modulate in order to treat a disease.

Key Responsibilities:

  • Apply machine learning expertise to research new solutions to critical problems in drug discovery.
  • Collaborate with a cross-functional team of specialists in informatics, engineering, AI, and drug discovery to develop new capabilities and improve existing products.
  • Stay up-to-date with the latest research and progress in machine learning for drug discovery.
  • Work with machine learning engineers to translate research prototypes into practical solutions for BenevolentAI's products and platform.
  • Ensure robust software development best practices.
  • Contribute to writing papers for journals and conferences.
  • Contribute to our thoughtful, collaborative, and ambitious culture.
  • Propose novel machine learning projects and research directions to address important challenges in drug discovery.
  • Promote machine learning best practices, such as scalable training and deployment, in-depth model introspection and evaluation, and new state-of-the-art methods.
  • Identify opportunities for publications.
  • Represent BenevolentAI externally at conferences and events.

Requirements:

  • Advanced degree (Masters or PhD) in machine learning, computer science, or a related field with a clear focus on empirical research.
  • Strong knowledge of modern machine learning methods and techniques.
  • Strong proficiency with Python.
  • Knowledge of modern tools for machine learning, including frameworks like PyTorch.
  • Experience building research prototypes and developing product-worthy tools from them.
  • Strong communication skills to communicate complex machine learning concepts to a broad audience.
  • Ability to work independently as well as part of a team.
  • Bonus points for experience applying machine learning in drug discovery or related fields, and/or knowledge of core problems in drug discovery and development.