Senior Applied Scientist

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $119,800–$234,700 / yr
Posted: 79 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 51% of similar roles. Most pay $162,000–$213,931 — the shaded band above. At the midpoint, this role pays about $177k versus about $188k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Senior Applied Scientist

Role Posting Log in to save

As a Senior Applied Scientist on Microsoft's Signals Modeling team within AI Ads Engineering, you will design and implement cutting-edge machine learning models to enhance ad relevance and user experiences across platforms like Microsoft Ads and Copilot. Your daily tasks include developing scalable algorithms for both online and offline systems, driving experimentation through A/B testing, and building robust data pipelines for large-scale datasets. You will work closely with engineers to deliver high-performance real-time inference in production environments. The role requires expertise in generative AI, deep learning, reinforcement learning, transformers, and LLMs, along with experience in programming and data analysis. This position offers the opportunity to shape the future of advanced AI at web scale, addressing complex business challenges through innovative machine learning solutions.

Skills

Python TensorFlow PyTorch Keras Scikit-learn Pandas NumPy AWS Azure Google Cloud Docker Kubernetes CI/CD Git Jupyter Notebook SQL PostgreSQL Redis MongoDB A/B Testing Reinforcement Learning Generative AI Transformers LLM

What you'll do

Develop and deploy cutting-edge ML models to optimize user interactions and ad relevance.
Design scalable algorithms for ads selection, generation, and relevance across online/offline systems.
Drive experimentation through A/B testing and offline validation to refine model performance.
Build robust data pipelines for handling large-scale datasets in advanced AI applications.
Stay updated with the latest AI research advancements to drive innovation at Microsoft.

What we're looking for

Proven experience in developing and deploying large-scale machine learning models.
Expertise in generative AI, deep learning, reinforcement learning, and transformers.
Strong programming skills for data analysis and algorithm development.
Experience with A/B testing and offline validation to evaluate model performance.
Ability to build robust data pipelines for handling high-dimensional datasets.

Similar roles

Senior Applied Scientist

Microsoft

US 79 days ago $119,800–$234,700

Python TensorFlow PyTorch ReinforcementLearning NaturalLanguageProcessing LargeLanguageModels FineTuning RLHF PromptEngineering Kubernetes Docker CI/CD PostgreSQL AWS GCP Azure

Save

Senior Research Scientist

MongoDB

25 days ago $126,000–$248,000

Python TensorFlow PyTorch Kubernetes Docker CI/CD Git PostgreSQL MongoDB AWS Azure Google Cloud Platform Scikit-learn Pandas NumPy Jupyter Notebook GitHub Conda Hugging Face Transformers

Save

Senior Applied Scientist

Adobe

San Jose 95 days ago $216,400–$313,300

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Prometheus Grafana Vision-Language Models Contrastive Learning Diffusion-Based Architectures Data Curation Distributed Training

Save

Senior Applied Scientist

Microsoft

38 days ago $119,800–$234,700

Python TensorFlow PyTorch Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Redis Azure AWS GitHub GitLab Jenkins Ansible Terraform Hadoop Spark Kafka Zookeeper ELK_stack MLflow Scikit-learn Pandas Numpy Matplotlib Seaborn

Hybrid

Save

Senior Applied Scientist

Adobe

San Jose +1 33 days ago $187,100–$270,950

Python TensorFlow PyTorch Keras Scikit-learn Model Distillation Supervised Fine-Tuning Preference Optimization Reward-Based Learning Cloud Services CI/CD Docker Kubernetes PostgreSQL MongoDB Git Jenkins Prometheus Grafana

Save

Senior Applied Scientist

Microsoft

44 days ago $119,800–$234,700

Python PyTorch TensorFlow DeepLearning MultiTaskLearning ModelCalibration CausalInference Attribution FeatureEngineering LargeScaleDataProcessing OnlineABExperimentation SupervisedLearning MLFrameworks EndToEndModelingPipelines NoisyLabels ProxySignals ConversionModeling PostClickModeling EngagementModeling UncertaintyEstimation

Hybrid

Save