Jobs

Member of Technical Staff, AI Data - MAI Superintelligence Team
United Kingdom, London, London
·
On-site
·
Full-time
·
4mo ago
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.
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.
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 modelling or data engineering work OR equivalent experience.
Expertise in large scale data engineering ideally applied to AIExpertise in Spark, Kubernetes or similar.
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, read more about requesting accommodations.
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About Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
Employees
Redmond
Headquarters
$3000B
Valuation
Reviews
3.8
5 reviews
Work-life balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
Recommend to a friend
Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,620 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1 reports
$234,166
total per year
Base
$180,128
Stock
-
Bonus
-
$234,166
$234,166
Interview experience
1 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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