Senior ML Engineer – Aerospace & Defense (Seattle)

GetJobSmart; Seattle (WA); On-site; USD 130,000 - 180,000; Full time

Job summary

Pinnacle East Corp. in Seattle, WA is seeking a Machine Learning Engineer to develop and deploy ML models for complex business problems. You will collaborate with data scientists, software engineers, and domain experts to design scalable solutions and ensure production readiness.

The role requires a strong ML background, expertise in Python and ML frameworks, and experience with cloud platforms. You will monitor performance and continuously improve models in a fast-paced environment.

Qualifications

• Master's degree in Computer Science, ML, or related field.
• 3+ years of experience in machine learning engineering.
• Strong programming skills in Python, R, or similar languages.
• Experience with ML frameworks TensorFlow, PyTorch, or scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with cloud platforms AWS, GCP, or Azure.

Responsibilities

• Develop and deploy ML models to solve business problems.
• Collaborate with data scientists, software engineers, and domain experts to design and implement machine learning solutions.
• Conduct experiments and evaluate the performance of machine learning models.
• Optimize and scale machine learning systems for production.
• Stay up-to-date with the latest advancements in machine learning and AI.
• Document and communicate machine learning solutions to stakeholders.

Skills

Python

R

Machine Learning

Data preprocessing

Model evaluation

Cloud platforms

Education

Master's degree in Computer Science / ML

Tools

TensorFlow

PyTorch

scikit-learn

SQL

Job description

Pinnacle East Corp. in Seattle, WA is seeking a Machine Learning Engineer to develop and deploy ML models for complex business problems. You will collaborate with data scientists, software engineers, and domain experts to design scalable solutions and ensure production readiness.

The role requires a strong ML background, expertise in Python and ML frameworks, and experience with cloud platforms. You will monitor performance and continuously improve models in a fast-paced environment.