| Microsoft Careers

Microsoft

Closes in 3 days

Quick summary

Work type
On-site
Location
WASan Francisco Bay areaNew York City metropolitan area
Salary
$119,800–$234,700 / yr
Posted
176 days ago
Closes
Jun 20, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 53% of similar roles. Most pay $152,562–$208,800 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k 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 1586 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1414 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Join our small, agile team at M365 Copilot as a Senior or Principal Applied Scientist to fine-tune large language models on tenant data for task-specific agents and solutions. You will write and execute training pipelines for LLMs post-training, design experiments to demonstrate the effectiveness of these models, and implement inference solutions that meet product specifications. Your role involves documenting your work and communicating results across teams while mentoring junior members. Ideal candidates have a strong background in language model training, data pipelines, and shipping high-quality models, with experience using Python and frameworks like PyTorch. You should also possess 2+ years of experience fine-tuning AI/ML models, particularly LLMs, and building generative AI pipelines such as RAG systems.

What you'll do

  • Write and execute training pipelines for large language models post-training.
  • Design experiments to demonstrate the effectiveness of LLM-based solutions.
  • Implement inference solutions using post-trained models according to product specifications.
  • Document experimental results and communicate findings across the team.
  • Mentor early-career team members in model development and experimentation.

What we're looking for

  • Strong background in training and fine-tuning large language models.
  • Extensive experience with Python and ML frameworks like PyTorch.
  • Proven track record of creating publications or patents in AI/ML.
  • Experience presenting at industry conferences as an invited speaker.
  • Expertise in building generative AI pipelines, such as RAG systems.

More like this

Similar roles

Principal Applied Scientist | Microsoft Careers

Microsoft

US 25 days ago $142,800$274,800
LLMs Multimodal modeling RAG Python PyTorch TensorFlow Azure ML Kusto Synapse A/B testing Bandits NDCG ERR Counterfactual learning Multi-objective optimization Distributed training Feature stores Automated rollout/rollback Azure AI Foundry
Hybrid

Senior Applied Scientist | Microsoft Careers

Microsoft

US 41 days ago $119,800$234,700
Python C# R C++ Java SQL NLP LLMs Prompt Engineering Data Mining Feature Engineering Regression Classification Petabyte Scale Data Handling Experiment Design Actionable Insights Concise Problem Solving
Hybrid

Principal Applied Scientist | Microsoft Careers

Microsoft

US 21 days ago $142,800$274,800
PyTorch TensorFlow LLM-based ranking agentic AI generative AI recommendation systems deep learning modern ML frameworks cloud-scale infrastructure distributed pipelines high-throughput online services data processing systems multi-tiered distributed services large-scale data analytics Spark asynchronous programming multi-objective optimization CI/CD
Hybrid

| Microsoft Careers

Microsoft

US 19 days ago $142,800$274,800
Python TensorFlow PyTorch Keras Scikit-learn Pandas NumPy AWS Azure Google Cloud Platform Docker Kubernetes CI/CD Git Jupyter Notebook SQL PostgreSQL Redis Hadoop Spark A/B Testing Reinforcement Learning Generative AI Transformers LLM
Hybrid