ML Engineer — Deploy Models & Drive Growth (Seattle)

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Seattle (WA)

On-site

USD 95,000 - 137,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

Retirement plan with employer match

Professional development opportunities

Job summary

Sterling Summit Inc. in Seattle, WA invites a Machine Learning Engineer to design, deploy, and optimize ML solutions that drive business growth. You will develop models, preprocess data, and collaborate with data scientists and product teams to translate requirements into scalable implementations.

Experience with Python, TensorFlow, PyTorch, and scikit-learn is required. This full-time role offers a salary range of $95,000–$136,749 per year, plus benefits including health insurance, retirement

Qualifications

Master's degree in Computer Science, ML or related field.
3+ years of experience in machine learning engineering.
Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
Experience with cloud platforms (AWS, Google Cloud, Azure).
Knowledge of data pipelines and databases.

Responsibilities

Develop and deploy machine learning models to solve business problems.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Perform data analysis and feature engineering to improve model performance.
Monitor and maintain ML systems for optimal performance.
Stay up-to-date with ML advances and document learnings for the team.
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