Description

You will lead machine learning research by developing innovative techniques and models, collaborating with experts, and mentoring others, all while promoting an inclusive research environment.

Requirements

• •PhD or equivalent practical experience
• •Proven track record in machine learning
• •Strong knowledge of linear algebra
• •Experience using ML frameworks like JAX
• •Passion for applying ML research
• •Project supervision or management experience
• •PhD in machine learning or computer science
• •Relevant research experience in ML
• •Experience in a scientific environment
• •Experience with biological or chemical data
• •Experience with real-world datasets
• •Experience with ML on accelerators
• •Experience in large scale deep learning

Tasks

• •Contribute to research directions in machine learning.
• •Apply ML algorithms to drug discovery.
• •Identify and create novel ML techniques.
• •Develop architectures and training algorithms for models.
• •Analyze and tune experimental results.
• •Implement and scale training and inference frameworks.
• •Report and present research findings clearly.
• •Collaborate with scientists and domain experts.
• •Suggest and engage in team collaborations.
• •Provide technical mentorship to the ML community.
• •Support other ML research scientists.
• •Lead and run ML research projects.
• •Cultivate a diverse and inclusive research culture.

Tools & Technologies