| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$102,100–$202,200 / yr
Posted
55 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $152k
$86k most similar roles pay here $251k

This role pays less than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $152k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Member of Technical Staff - Machine Learning at this innovative tech company, you will join a dynamic team focused on advancing large language model (LLM) capabilities for both general use and specific product applications. Your daily responsibilities include developing novel methods to enhance core LLM functionalities through reinforcement learning, fine-tuning models, and creating high-quality production code. You will also collaborate with research and product teams to design robust evaluation frameworks and implement cutting-edge features that drive user engagement. Ideal candidates possess a strong background in machine learning and software engineering, along with expertise in languages such as Python or C++. Experience in training classifiers, engineering prompts for SOTA foundation models, and addressing data quality issues is highly valued, making this role perfect for those passionate about building world-class AI products in a fast-paced environment.

What you'll do

  • Own and pursue a research agenda to enhance model capability and performance for agentive applications.
  • Develop robust evaluations to track improvements in modeling capabilities.
  • Design, implement, test, and debug code across the entire research stack.
  • Create reinforcement learning data and fine-tune models to achieve state-of-the-art foundation models.
  • Engineer prompts and train classifiers to support Microsoft products and cloud API services.

What we're looking for

  • Master's degree in Computer Science or related technical field with 1+ years of engineering experience.
  • Experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
  • Doctorate in Machine Learning, Human-Centered AI, or a related field.
  • Experience in fine-tuning models using supervision or reinforcement learning.
  • Understanding and addressing data quality and curation issues.
  • Collaboration experience on creating new products with interdisciplinary teams.

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