below marketmost similar roles pay hereabove market
This role pays less than
82%
of similar roles. Most pay
$162,000–$241,750
— the blue band above.
At the midpoint, this role pays about
$152k
versus about
$202k
for comparable roles.
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
JOB TITLE: Applied Scientist II / Senior Applied Scientist - Responsible AI (CoreAI)
The Responsible AI team within the CoreAI Platform and Tools organization is seeking an Applied Scientist II / Senior Applied Scientist to develop transformative experiences that uphold ethical standards for artificial intelligence. In this role, you will conduct supervised fine-tuning of large language models using Reinforcement Learning from Human Feedback and perform thorough evaluations. You will design and implement agent adversarial evaluations and safety mitigations to help creators identify risks and ensure security. Collaborating with the Responsible AI engineering team, you will deliver these mitigations at scale and troubleshoot end-to-end issues. Required skills include proficiency in Python, C#, PyTorch, and Triton, alongside experience in NLP, deep learning, data processing, and engineering methodologies like Unit testing and Test Driven Development.
What does a Applied Scientist earn?
Median $208800 from 61 postings across 10 companies.
Deep Learning
Large Language Models
Python
PyTorch
TensorFlow
C++
C#
Java
C
NLP
Distributed Training
Machine Learning
Predictive Analytics
Search
Document Understanding
High Throughput Systems
Deep Learning
Speech Modeling
Signal Processing
Statistical Modeling
LLM
Multimodal Modeling
Data Analysis
Predictive Analytics
Production Systems
Algorithms
Research
Statistics
Computer Science
Deep Learning
Signal Processing
Speech Modeling
Statistical Modeling
Predictive Analytics
Data Analysis
Production Environments
Conversational AI
Large-scale Computing Frameworks
Generative AI
Large Language Models
Machine Learning
Natural Language Processing
Deep Learning
Synthetic Data Generation
Responsible AI
Inference Pipelines
Experimentation Frameworks
Privacy-Preserving ML
Computer Vision
Recommender Systems
Statistics
Large Language Models (LLMs)
Deep Learning
NLP
Reinforcement Learning
Fine-tuning
Model Optimization
Multimodality
A/B Testing
Data Curation
Predictive Analytics
Statistics
Computer Science