Senior Research Engineer – Machine Learning

1 Hour ago • 4-8 Years • Artificial Intelligence • Undisclosed

About the job

Job Description

Microsoft Research AI for Science seeks a Senior Research Engineer specializing in Machine Learning to contribute to their ambitious molecular science research agenda. The role involves designing, developing, and deploying data processing pipelines, machine learning models, and workflows for drug discovery. Collaboration with internal and external partners to evaluate models is crucial. The successful candidate will champion modern engineering practices, prepare technical publications, and work daily with an international, interdisciplinary team. Strong Python development and deployment experience, along with experience in designing and deploying scientific ML systems, is required. Deep learning experience, chemoinformatics/computational chemistry, and real-world drug discovery experience are preferred.
Must have:
  • Strong Python development and deployment
  • Experience designing & deploying scientific ML systems
  • Experience with cross-functional teams
  • Experience with major cloud platforms
  • Drive ML engineering strategy and implementation
Good to have:
  • Deep Learning experience
  • Chemoinformatics & computational chemistry experience
  • Real-world drug discovery experience
  • Experience with other programming languages
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

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 exceptional Machine Learning Research Engineering candidates at the intersection of 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  

  • Strong experience in Python software development and deployment. 
  • Track record in designing, developing and deploying scientific ML systems with real world impact 
  • Experience working with cross-functional teams. 
  • Experience working with major cloud platforms.

Preferred  

  • Deep Learning experience. 
  • Experience with chemoinformatics & computational chemistry. 
  • Experience in real-world drug discovery. 
  • Experience with other programming languages. 

#Research #AI for Science

 

Responsibilities

  • Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. 
  • Design, develop and deploy data processing pipelines, machine learning models and workflows. 
  • Work with internal and external partners to deploy and evaluate models and workflows. 
  • Champion and coach the team in modern engineering practices. 
  • Prepare technical papers and presentations. 
  • Work 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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