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Senior Research Engineer Machine Learning, AI for Science

Cambridge, England, GB; Berlin, BE, DE; Amsterdam, NH, NL; London, England, GB

Actively hiring, first seen by us 2 days ago
Pay
Multiple pay statements — pay source
Experience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents. Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html Software Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html
Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html Software Engineering IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/netherlands-corporate-pay.html
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Develop and maintain scalable infrastructure for ML training, evaluation, and benchmarking

  • Architect and implement large-scale data pipelines for heterogeneous scientific data

  • Build and optimize distributed data processing and model training pipelines

  • Develop software and agentic workflows to automate model development and evaluation

  • Monitor and improve the stability of data, training, and evaluation workflows

From the employer’s posting
Develop and maintain efficient, reliable, and scalable infrastructure for large-scale machine learning training, evaluation, and benchmarking.
Architect, design, and implement large-scale data pipelines for heterogeneous scientific data
Build and optimize distributed data processing, model training, evaluation, and benchmarking pipelines.
Develop software and agentic workflows to automate and improve model development, training, evaluation, and benchmarking.
Continuous monitoring and improvement of the stability of data, training, evaluation and benchmarking workflows
Education & alternatives
Qualifications that are considered a plus, but are not strictly required: - PhD degree in computer science, machine learning, AI or a related field, or comparable industry experience in working with machine learning and large datasets. - Experience working with major cloud platforms and/or HPC
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Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 55.

From 9,990 similar postings that came down. Coming down is not always a hire.

Microsoft is hiring

47 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is steady
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

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  • Python
  • PyTorch
Where the posting names them
- Completed MSc in computer science, machine learning, AI or a related area - Proficiency in collaborative software engineering in Python - In-depth understanding of machine learning frameworks such as PyTorch and/or Jax
- Proficiency in collaborative software engineering in Python - In-depth understanding of machine learning frameworks such as PyTorch and/or Jax - Experience in designing, developing and deploying ML systems

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Overview

The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. Accurate predictions of electronic structure are essential for predictive modeling across chemistry and materials science. Learn more about our work on accurate and scalable DFT in our blog and on our project website.

The primary focus of this role will be developing and maintaining efficient, reliable end-to-end infrastructure for large-scale model training, evaluation, and benchmarking, including large-scale data pipelines for heterogeneous scientific data, distributed training, experimentation, and agentic workflows. If you have solid machine learning engineering expertise and enjoy building scalable infrastructure that enables cutting-edge machine learning research, we encourage you to apply.

This post will be open until the positions are filled. 



Responsibilities
  • Develop and maintain efficient, reliable, and scalable infrastructure for large-scale machine learning training, evaluation, and benchmarking.
  • Architect, design, and implement large-scale data pipelines for heterogeneous scientific data, supporting efficient model training, experimentation, evaluation, and benchmarking.
  • Build and optimize distributed data processing, model training, evaluation, and benchmarking pipelines.
  • Develop software and agentic workflows to automate and improve model development, training, evaluation, and benchmarking.
  • Continuous monitoring and improvement of the stability of data, training, evaluation and benchmarking workflows
  • Work cross-functionally with machine learning researchers, engineers, and researchers from the natural sciences.
  • Maintain high standards in code quality and software design.
  • Document and share practices across the organization. 


Qualifications

Required qualifications:  

  • Completed MSc in computer science, machine learning, AI or a related area
  • Proficiency in collaborative software engineering in Python
  • In-depth understanding of machine learning frameworks such as PyTorch and/or Jax
  • Experience in designing, developing and deploying ML systems
  • Experience with agentic software development
  • Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
  • Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds

Qualifications that are considered a plus, but are not strictly required:

  • PhD degree in computer science, machine learning, AI or a related field, or comparable industry experience in working with machine learning and large datasets. 
  • Experience working with major cloud platforms and/or HPC 
  • Experience developing high-performance scientific software. 
  • Experience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents.
 
 


Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html


Software Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html


Software Engineering IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/netherlands-corporate-pay.html


Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Pay
Experience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents. Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
More source context
Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html Software Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html

More relevant text appears in the full description.

Location & working pattern

Cambridge, England, GB; Berlin, BE, DE; Amsterdam, NH, NL; London, England, GB

Working pattern and location restrictions need checking in the full posting.

Work authorization
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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