Microsoft UK • Cambridge, United Kingdom

Internship Opportunities: AI4Science Research Internship - Reinforcement Learning & Drug Discovery

3 days/week at home

Fully flexible hours

Job Description


Over the coming decade, deep learning looks set to have a transformational impact on the natural sciences. The consequences are potentially far-reaching and could dramatically improve our ability to model and predict natural phenomena over widely varying scales of space and time. Our AI4Science team encompasses world-leading experts in machine learning, computational chemistry, material science, quantum physics, molecular biology, software engineering, and other disciplines, who are working together to tackle some of the most pressing challenges in this field.

We are seeking an intern to contribute to a program of research at the intersection of reinforcement learning and chemistry. This is an exceptional opportunity to drive ambitious research in a highly collaborative, diverse and global team of other researchers and engineers, to push the state of the art in deep learning for the natural sciences.


  • Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in machine learning and scientific research.
  • Write robust machine learning research code to test new approaches or develop novel theoretical and practical insights for machine learning in the natural sciences.
  • Communicate research findings to an interdisciplinary research team.
  • Prepare technical papers, presentations, and open-source releases of research code.


Required Qualifications:

  • Understanding and research experience in machine learning and/or reinforcement learning, demonstrated for example through research in a related PhD program and/or publications in ML conferences or scientific journals.
  • Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.
  • Demonstrable understanding and hands-on experience in using deep learning frameworks.

Preferred Qualifications:

  • Practical experience working with deep learning frameworks and scientific data.
  • Ability to write good quality code in Python, as well as familiarity with Git and code reviews.
  • Desire to see research have real-world impact.
  • Demonstrable ability to work and learn in an interdisciplinary collaborative environment, evidenced by effective communication of technical concepts to people from different technical backgrounds.
  • Good communication skills.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Company benefits

Wellbeing allowance
Health insurance
Dental coverage
Gym membership
Mental health platform access
Buy or sell annual leave
Shared parental leave
Matched pension contribution
Charity donation scheme
Employee assistance programme
Employee discounts
Volunteer days
Fertility treatment leave
Open to compressed hours
Open to job sharing
Fertility benefits
Enhanced sick pay
Enhanced sick days
Compassionate leave
Travel insurance
20 days annual leave + bank holidays
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Childcare credits
Carer’s leave
Cycle to work scheme
Faith rooms
Annual bonus
Annual pay rises
Company car
Open to part-time employees
Pregnancy loss leave
Life insurance
Equity packages
Financial coaching
Relocation packages
Employees are very happy with their working location freedom
Employees are very happy with the flexibility in the hours they work
Employees are largely happy with the benefits their company offers
Work-life balance
Employees feel that they can switch off quite easily from work
Role modelling
Employees feel that most people work flexibly
Employees feel that they can mostly manage how they get their own work done

Working at Microsoft UK

Company employees

Globally: 220,000

Gender diversity (male:female)


Office locations

London, Reading, Cambridge, Romsey, Manchester, Edinburgh

Hiring Countries

United Kingdom

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024

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