Senior Researcher– Machine Learning

3 Months ago • 4-8 Years • Artificial Intelligence

Job Summary

Job Description

Microsoft Research AI for Science seeks a Senior Machine Learning Researcher to contribute to a high-impact research agenda in molecular sciences. The role involves designing and developing new machine learning models and algorithms, running large-scale experiments, collaborating with internal/external partners, and preparing publications/presentations. The researcher will work with an international, interdisciplinary team focused on drug discovery, leveraging deep learning techniques for advancements in chemistry. Experience in deep learning research (PhD or equivalent), algorithm optimization, Python development, and deep learning system implementation (PyTorch or JAX) is essential.
Must have:
  • PhD or equivalent in Deep Learning
  • Experience designing and optimizing ML architectures and algorithms
  • Python software development expertise
  • Deep learning system implementation (PyTorch or JAX)
  • Contribute to research agenda in molecular sciences
Good to have:
  • Experience with graph data, reinforcement learning, and/or generative models
  • Experience with molecular data in drug discovery
  • Publications in ML conferences/scientific journals
  • Experience in natural sciences
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Deep learning has only just started its transformative impact on the natural sciences. In Microsoft Research AI for Science we are seeking to solve some of the fundamental challenges in the molecular sciences with deep learning.  
 
For our lab in Cambridge, UK, or Amsterdam, NL we are seeking Machine Learning Researcher candidates to work at the intersection of machine learning, chemistry, and drug discovery. If you are passionate about this research area and believe you can make a lasting impact, we would love to receive your application. 
 
Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. 
 
This post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment. 

Qualifications

Required  

  • Track record in Deep Learning research, as evidenced by a PhD or similar research experience in the field. 
  • Experience designing and optimizing new architectures and algorithms, and running experiments and analyses to study their performance. 
  • Experience in Python software development, ideally demonstrated by published software projects (e.g., github).  
  • Experience in developing and implementation of deep learning systems (e.g., in PyTorch or JAX).

 

Preferred  

  • Experience working with graph data, reinforcement learning, and/or generative models. 
  • Experience with molecular data in real-world drug discovery. 
  • Track record of publications in ML conferences and/or scientific journals.
  • Experience in natural sciences is a plus, but not required.

 

#Research #AI for Science

 

 

Responsibilities

  • Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences. 
  • Design and develop new machine learning models and algorithms. 
  • Write code to run and evaluate large scale ML experiments. 
  • Work with internal and external partners to deploy and evaluate models and workflows. 
  • Prepare technical papers and presentations. 
  • Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal. 

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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