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Microsoft

Member of Technical Staff, Data Research Engineer - MAI Superintelligence Team

Zurich
CHF 233.6k – CHF 350.4k/yr
Posted 1 day ago
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Overview

We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.

At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyse, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviours, and aligning datasets with ethical and societal values.

This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
  • Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
  • Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
  • Build lightweight tools and workflows for dataset auditing, visualization, and versioning
  • Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Qualifications

Required Qualifications:

  • Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
  • OR equivalent experience
  • Experience in data analysis or data engineering
  • Proficiency in statistics and exploratory data analysis methods
  • Ability to communicate technical findings effectively to research and product teams

Preferred Qualifications:

  • Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
  • Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
  • Experience working with large-scale, real-world datasets that are unstructured or semi-structured

Compensation

Software Engineering IC5 - The typical base pay range for this role across United Kingdom is £ 93,500.00 - £ 161,800.00 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 IC6 - The typical base pay range for this role across United Kingdom is £ 119,100.00 - £ 178,700.00 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

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Software Engineering IC5 - The typical base pay range for this role across Switzerland is CHF 183,800.00 - CHF 309,700.00 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/switzerland-corporate-pay.html

Software Engineering IC6 - The typical base pay range for this role across Switzerland is CHF 233,600.00 - CHF 350,400.00 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/switzerland-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.

Equal Opportunity Employer

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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Skills

Python
Pandas
NumPy
Data Analysis
Data Engineering
Statistics
Exploratory Data Analysis
Spark
Ray
Apache Beam
Multimodal Data Processing
Dataset Curation
Data Pipelines
Dataset Auditing
Responsible AI

Location

Zurich, Zurich, Switzerland

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