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This listing doesn't post a salary. Most similar roles pay
$141,750–$227,700.
Based on 240 similar postings.
Employer
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
Microsoft currently has
691 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 647 roles with salary data.
JOB TITLE: Applied Scientist: Internship Opportunities, Turing
The Applied Scientist: Internship Opportunities, Turing role involves joining a team to analyze and improve the performance of advanced algorithms on large-scale datasets within machine intelligence and machine learning applications. You will identify key challenges in product scenarios, translate them into machine learning tasks, and design experimental processes for iteration and optimization. Daily responsibilities include implementing prototypes of scalable systems, preparing high-quality data for analysis, and supporting feature ideation and data preparation under senior guidance. You must demonstrate proficiency in statistics, econometrics, computer science, or electrical engineering. The work focuses on applying AI tools to improve relevance, discovery, and personalization. You will handle data quality problems, review technical constraints, and share research techniques to solve complex machine learning problems while ensuring data is adapted for modeling purposes.
What does a Applied Scientist earn?
Median $208800 from 53 postings across 11 companies.
Analyze and improve the performance of advanced algorithms on large-scale datasets.
Translate product scenarios and goals into specific machine learning tasks.
Design experimental processes for the iteration and optimization of ML models.
Implement prototypes of scalable systems for AI applications.
Prepare and review data to ensure it meets quality and technical constraints.
Develop usable datasets for modeling and support the scaling of feature ideation.
Adapt cleaned data for machine learning purposes under senior supervision.
What we're looking for
Currently pursuing a Bachelor's or Master's 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.
Ability to analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence.
Ability to design experimental processes for iteration and optimization and implement prototypes of scalable systems in AI applications.
Ability to prepare, review, and adapt data for machine learning purposes while addressing data quality problems.
Ability to identify key challenges and fit product scenarios into Machine Learning tasks.
Passion for building AI experiences and understanding how AI tools can improve relevance, discovery, and personalization.
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
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
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
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