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Microsoft UK • Cambridge, United Kingdom

Cambridge Residency Programme: TaiX ML Residency

3 days/week at home

Fully flexible hours

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Job Description

Overview

The Teachable AI Experiences (TaiX) team at Microsoft Research Cambridge (UK) is a multidisciplinary research group that brings together different skill sets to innovate human-AI interaction. The team is hiring a machine learning (ML) researcher to push the state-of-the-art of generative AI systems, with a goal of ensuring equitable experiences for all. The candidate should have deep technical knowledge of current generative AI models, with a particular focus on multi-modal models (e.g. image-text models like GPT-4Vision, LLaVa and CLIP). They should be able to approach technical problems in a multi-disciplinary way, and be passionate about building AI technologies that will ensure the inclusion of marginalised communities.

Responsibilities

  • Undertake cutting-edge research in deepening our understanding of generative AI models, including the development of technical approaches to ensure they perform equally well in all scenarios.
  • Write research code to develop and validate new approaches, or develop novel theoretical and practical insights.
  • Collaborate with a diverse and multi-disciplinary team.
  • Clearly communicate research ideas and results in writing, such as research papers, presentations, or research notes for internal and external audiences.

Qualifications

Required Qualifications:

  • PhD in Machine Learning, Deep Learning, or a related area.
  • Strong technical understanding of state-of-the-art generative AI models, with a particular focus of multi-modal models.
  • Demonstrable ability to drive high-quality research insights through publications in top-tier machine learning conferences and journals (e.g. NeurIPS, ICML, ICLR, AAAI, ICCV, ECCV, CVPR, JMLR).
  • Hands-on experience in implementing and empirically evaluating deep learning approaches in PyTorch.
  • Effective communication skills and ability to work in a collaborative environment.

Preferred Qualifications:

  • Demonstrable research expertise in any of the following fields: AI fairness, AI interpretability and/or transparency, model adaption (e.g. PEFTs), data-centric AI, evaluation methods.
  • The ability to approach technical problems and design solutions with a multi-disciplinary perspective.
  • Passion for ensuring the inclusion of marginalised communities in AI technologies.
  • Previous experience working in a multi-disciplinary team with diverse skill sets.
  • Contribution to open-source code projects (e.g. on GitHub).

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
Hackathons
Open to part-time employees
Pregnancy loss leave
Life insurance
Equity packages
Financial coaching
Relocation packages
Sabbaticals
Location
83%
Employees are very happy with their working location freedom
Hours
81%
Employees are very happy with the flexibility in the hours they work
Benefits
67%
Employees are largely happy with the benefits their company offers
Work-life balance
63%
Employees feel that they can switch off quite easily from work
Role modelling
74%
Employees feel that most people work flexibly
Autonomy
79%
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)

67:33

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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