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About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
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Applied Science: PhD Internship Opportunities, Turing is a research-focused internship where you will work with global teams to bring advanced research to life in products and services. You will analyze and improve the performance of advanced algorithms on large-scale datasets, focusing on machine intelligence and machine learning applications. Day-to-day responsibilities include identifying product challenges, designing experimental processes for optimization, and implementing prototypes of scalable systems. You will handle data preparation, quality review, and feature ideation under senior guidance. The role requires expertise in AI, LLM, SLM, and agent technologies. Key skills include experience with search, language models, recommender systems, and geospatial intelligence. You will solve technical problems related to improving relevance, discovery, personalization, and end-user satisfaction through state-of-the-art machine learning solutions.
Analyze and improve the performance of advanced algorithms on large-scale datasets.
Translate product goals into machine learning tasks and design experimental processes for optimization.
Implement prototypes of scalable systems for AI applications.
Prepare and review data for analysis based on quality and technical constraints.
Develop usable datasets for modeling and support the scaling of feature ideation.
Adapt cleaned data for machine learning purposes under the direction of senior team members.
Share knowledge of research techniques and industry trends with immediate team members.
What we're looking for
Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field.
Must have at least one additional quarter or semester of school remaining following the completion of the internship.
Must be enrolled in a full-time bachelor's, master's, MBA, or PhD program in a relevant area during the academic term immediately before the internship.
Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial intelligence, or content and commerce systems (preferred).
Experience running controlled experiments and interpreting offline and online evaluation metrics (preferred).
Familiarity with large-scale distributed systems or productionizing applied science solutions (preferred).
Passion for building AI experiences and understanding how AI tools can improve relevance, discovery, and personalization (preferred).
Machine Learning
Large-scale Distributed Systems
Data Preparation
Statistics
Econometrics
Computer Science
Search
Language Models
Recommender Systems
Content and Commerce Systems
Online Evaluation
Data Quality
Scalable Systems
Productionizing Applied Science
Python
Swift
Objective C
Java
TensorFlow
PyTorch
CoreFlow
Sklearn
Machine Learning
Large Language Models
Diffusion Models
Reinforcement Learning
Linear Algebra
Statistics
Causal Inference
Time Series Analysis
Optimization
Stochastic Modeling
Python
R
SQL
Java
Scala
C#
Machine Learning
Statistical Modeling
Data Engineering
Data Pipelines
Distributed Systems
Data Mining
Causal Inference
Model Evaluation
Reporting Tools
Data Structures
Optimization Techniques