This role pays less than
55%
of similar roles. Most pay
$137,500–$180,250
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$159k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Software Engineer, you will design, develop, and implement robust, scalable software applications that integrate generative AI techniques into production environments. You will work on integrating LLMs and NLP to power features like content recommendations, summarization, translation, and retrieval while building scalable data pipelines and efficient data models to support business objectives. The role involves optimizing existing systems using generative AI and establishing high coding standards. You will utilize technologies including Python, C#, Java, C++, or C, alongside frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras. Your work involves managing large datasets with Apache Spark or Hadoop, deploying models on Azure, AWS, or GCP, and utilizing Docker and Kubernetes for orchestration. You must apply knowledge of Transformers, CNNs, RNNs, and MLOps strategies to solve complex problems within the generative AI domain.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
Design, develop, and implement scalable software applications utilizing generative AI techniques.
Integrate LLMs and NLP into solutions for content recommendation, summarization, and translation.
Build and maintain scalable data pipelines and design efficient data models to support business objectives.
Identify opportunities to optimize existing systems using generative AI technologies.
Develop, train, evaluate, and deploy machine learning solutions at scale for real-world problems.
Implement MLOps strategies for model deployment, monitoring, and governance.
Mentor other engineers and data scientists while providing technical guidance and code reviews.
What we're looking for
Bachelor's Degree in Computer Science or a related technical field (or equivalent experience).
2+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
2+ years of professional experience developing, training, evaluating, and deploying ML solutions at scale for real-world problems.
2+ years of experience as a software engineer developing and shipping software in Python, C#, Java, or modern equivalents.
Experience with machine learning algorithms, frameworks (TensorFlow, PyTorch, Scikit-learn, Keras), and architectures like Transformers, CNNs, and RNNs.
Experience with data processing frameworks (Apache Spark, Hadoop) and cloud platforms (Azure, AWS, or GCP).
Experience with MLOps strategies, containerization (Docker), and orchestration tools like Kubernetes.
Strong computer science fundamentals in algorithmic design, data structures, and complexity analysis.
LabVIEW
C++
Python
National Instruments
cDAQ
cRIO
PXI
Data Acquisition
Distributed Systems
Network Communication
Unit Testing
Performance Optimization
Debugging