Machine Learning Researcher

Job Description

My client is a leading global technology company specializing in artificial intelligence (AI) and machine learning solutions. They focus on creating advanced decision-making systems for various industries, mainly bio/pharma, by leveraging the power of AI to solve complex problems and optimize processes.

I am currently looking to speak with Machine Learning Scientists who have prior experience or a passion for the latest advancements within Biology.

This is a fantastic opportunity for someone fresh out of a PhD or looking to take their career to the next level by working at the forefront of AI within life sciences.

As a Research Scientist, you will focus on developing and implementing innovative algorithms while exploring and evaluating cutting-edge research ideas in areas such as multi-round experimental design, active learning, Bayesian optimization, model-based reinforcement learning, large language models, representation learning, and uncertainty quantification. Your work will address key challenges in biological sequence design.

Other Responsibilities:

1. Develop and apply innovative research on Bayesian experimental design to optimize biological sequences through multiple rounds of experimentation.
2. Contribute to team research and publish results at leading journal and conference venues.
3. Report and present experimental results and research findings, both internally and externally, verbally and in writing.
4. Collaborate internally with your colleagues and externally with global industry leaders to meet research goals.

Your Background:

1. Ms or PhD in Computational Biology, Artificial Intelligence (AI), Machine Learning, or a related scientific field.
2. Practical knowledge of modern deep learning, large language models (LLMs), Bayesian optimization, and reinforcement learning.
3. Hands-on experience with deep learning frameworks such as Pytorch or TensorFlow.
4. Software development skills in Python.