FAQs
What is the main goal of the AI Data team at Microsoft AI?
The main goal of the AI Data team is to create the largest and most advanced multimodal dataset in the world to train cutting-edge AI frontier models.
What types of data will I be working with in this role?
You will be working with various modalities of training data, including text, audio, images, and video.
What qualifications are required for the Member of Technical Staff position?
A Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or a related field is required, along with experience in business analytics, data science, software development, data modeling, or data engineering work, or equivalent experience.
What technologies should I be familiar with for this position?
Expertise in large-scale data engineering, ideally applied to AI, and familiarity with technologies like Spark and Kubernetes or similar is required.
Can you describe the work environment of this role?
The work environment is highly collaborative and fast-paced, where team members are encouraged to learn from each other and contribute to the development of advanced AI systems.
How does this role contribute to the overall AI product development at Microsoft?
This role supports model pre-training operations which involves designing and developing data pipelines and collaborating with teams that transform pre-trained models into consumer products like Copilot.
What types of collaboration will I engage in as part of this team?
You will collaborate with the pretraining and post-training teams, the product team, engineers, and researchers across Microsoft AI to identify gaps in current models and improve data recipes.
Is there an emphasis on professional development within the team?
Yes, there is an emphasis on learning and exploring new methods and technologies, which fosters a culture of experimentation and innovation within the team.
Are there specific soft skills that are important for this role?
Yes, candidates should demonstrate a proactive attitude, attention to detail, the ability to manage multiple responsibilities, and adjust to shifting priorities.