| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $119,800–$234,700 / yr
Posted: 60 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 66% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied Data Scientist on the Bing Places Data team, you will work closely with a dynamic group of researchers to develop innovative AI solutions using Large Language Models (LLMs), Small Language Models (SLM), and Retrieval-Augmented Generation (RAG) models. Your daily tasks include designing advanced data pipelines for efficient model training and inferencing, collaborating across multidisciplinary teams to translate research into practical applications, and mentoring junior team members while fostering a culture of knowledge sharing. You will need expertise in machine learning frameworks like TensorFlow or PyTorch, proficiency in Python, and experience with cloud-based big data technologies such as Azure Databricks. This role offers the chance to work on large-scale projects that enhance user experiences and support business growth within Microsoft’s ethical AI framework.

Skills

LLMs SLMs RAG Python Machine Learning Natural Language Processing Data Processing Pipelines Cloud-Based Infrastructure Big Data Technologies CI/CD Ethical AI Principles

What you'll do

Develop and deploy advanced AI solutions using LLMs, SLMs, and RAG models to enhance Bing Places platform.
Stay updated on AI/ML research advancements and integrate them into scalable systems for the Bing Places team.
Design robust data processing pipelines to optimize model performance and scalability in production environments.
Mentor junior team members and support recruiting efforts to build a strong research team.
Ensure ethical principles are upheld in all AI solutions, maintaining fairness and alignment with privacy standards.

What we're looking for

Extensive experience (3+ years) in developing and deploying AI solutions in production.
Strong background in machine learning, natural language processing, and large/small language models.
Expertise in creating robust data pipelines for training and inferencing models.
Proven ability to stay updated with the latest AI/ML research advancements.
Experience collaborating across multidisciplinary teams to implement research insights.
Commitment to ethical principles in AI development and deployment.

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