Senior Researcher - Machine Learning

Key Skills

Deep Learning, Effective communication skills, Machine learning techniques, Mathematical modeling, Python Programming, PyTorch, Reinforcement Learning

Job Description

Overview

We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on ‘fifth paradigm’ scenarios. Through these advances, we aim to empower real-world impact on some of the most pressing problems facing society including climate change, green energy, sustainable materials, and the discovery of new drugs.

AI4Science is a new global team in Microsoft Research focusing on the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI4Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several geographical sites in Europe, Asia, and the US.

The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI4Science in particular requires a combination of machine learning, engineering, and natural sciences, which again emphasizes the importance of collaboration and teamwork.

We are seeking a highly motivated and experienced researcher with expertise in machine learning.

Qualifications

Required Qualifications:

• Master's degree or equivalent work experience in deep learning and reinforce learning, with publications in top ML conferences, e.g., NeurIPS, ICLR, ICML.
• Passion for science related problems, including but not limited to, materials science, chemistry, physics, and biology.
• Proficiency in Python and relevant ML libraries (e.g., PyTorch).
• Experience with transformer-based models (e.g., GPT, Llama).
• Fluency in spoken and written English.
• Demonstrable capabilities in doing solid research in machine learning evidenced by high quality publications and/or a track record of innovation.
• Candidates must be able to collaborate effectively with other researchers. We are particularly interested in the candidates who can work across disciplinary boundaries

Preferred Qualifications:

• Good chemistry, physics, biology, and medicine implementation skills and mathematical background are good to have but not a must.
• Candidates must be able to collaborate effectively with other researchers. We are particularly interested in the candidates who can work across disciplinary boundaries.

Responsibilities

• Perform cutting-edge research in collaboration with other researchers and engineers.
• Passion and dedication in machine learning for science, and your commitment to doing world-class research.
• Stay current with the latest trends, research, and developments in AI and machine learning to ensure our systems remain at the forefront of innovation.