Member of Technical Staff, AI Data

Stellenbeschreibung

Member of Technical Staff, AI Data

Zürich, Switzerland

Date posted

Apr 10, 2025

Job number

1818751

Work site

Microsoft on-site only

Travel

0-25 %

Role type

Individual Contributor

Profession

Software Engineering

Discipline

Software Engineering

Employment type

Full-Time

Overview

Help build the world’s most advanced multimodal dataset at Microsoft AI.
We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.
The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.
We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:

Are passionate about the role of data in large-scale AI model training

Will thrive in a highly collaborative, fast-paced environment

Have a high degree of craftsmanship and pay close attention to details

Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies

Effectively manage multiple responsibilities and can adjust to shifting priorities.

Qualifications

Required/Minimum Qualifications

Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work

OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work

OR equivalent experience.
Experience using data processing technologies for Multimodal dataset scalability, parellel processing, data handling, streaming/batch processing, etc.
Experience working with distributed computing tools such as; Spark, Kubernetes, TensorFlow, Flink and Pyspark.
Experience conducted research in Machine Learning or worked as an ML Engineer/ MLOps/ SWE.
Experience designing and developing data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video) AND have the skills to be able to build infrastructure to support this work from ground up.

Preferred:

Experience working with large scale of data ideal Petabyte scale or above.

Responsibilities

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.
Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.
Embody our culture and values.

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

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Industry leading healthcare


Educational resources


Discounts on products and services


Savings and investments


Maternity and paternity leave

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Generous time away

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Giving programs

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Opportunities to network and connect

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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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