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Member of Technical Staff - Data Research Engineer

Microsoft -
Zürich, ZH

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Détails de l'emploi

100% | Temps de travail : 90-100%
De 183 800 CHF à 309 700 CHF par an

Avantages

Congé pour raisons familiales
Logement

Qualifications

Spark
Analyse de données
Niveau Master
Niveau Licence
Collecte de données
Python

Description complète du poste

Overview

We are seeking a Data Research Engineer to join our AI team, where we are building the next generation of foundation models across different modalities: text, image, video, audio. 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 other colleagues to curate, analyse, and evaluate diverse 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.

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 data ingestion, pre-processing, filtering, and annotation
Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
Build 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

Qualifications

Required Qualifications:

Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field.
Proficiency in Python.
Experience with distributed data-processing frameworks such as Spark, Ray and workflow-orchestration tools such as Airflow.
Experience with processing datasets at many petabyte scale and with trillion rows.
Experience building datasets for training foundation models, including language or multimodal models.
Strong experience in data analysis, data engineering, or both.
Ability to communicate technical findings clearly and effectively to research, engineering, and product teams.
Experience evaluating dataset quality and measuring the impact of data through controlled model-training experiments.

Preferred Qualifications:

Master’s degree in Computer Science or a related technical field, or equivalent experience.
Experience working with large-scale, real-world datasets that are unstructured or semi-structured
Experience evaluating dataset quality and measuring the impact of data through controlled model-training experiments.
Experience with multimodal data, such as image, video, or audio data.

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

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.

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