Senior Machine Learning Engineer

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Senior Machine Learning Engineer (Applied ML)

About the Company

Our client is a high-scale consumer technology company leveraging machine learning, advanced analytics, and large-scale data systems to optimize user experiences and drive meaningful business impact. Their products reach millions of users globally, providing an opportunity to work on ML systems at significant scale.

The Role

They are hiring a Senior Machine Learning Engineer to own and improve production machine learning models that directly impact key business metrics. This is a highly applied ML role focused on model performance, experimentation, feature engineering, and continuous optimization-not ML infrastructure.

You’ll work with large-scale datasets to improve prediction, ranking, recommendation, and optimization systems, partnering closely with Product, Data, and Engineering teams to deliver measurable outcomes.

What They’re Looking For

5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science

Strong hands-on Python and SQL skills

Experience building, deploying, and improving production ML models

Experience working with large-scale datasets

Strong understanding of feature engineering, model optimization, and experimentation

Experience with recommendation systems, ranking, personalization, Ad Tech, search, marketplace optimization, or similar large-scale ML problems

Ability to operate independently, take ownership, and drive technical decisions

Why Join?

Work on high-impact ML systems serving millions of users

Own and improve models that directly influence product performance and revenue

Join a mature engineering environment with strong data infrastructure already in place

Operate as a senior individual contributor with significant ownership and impact

Location

Remote within the following states : California, Washington, Texas, Arizona, Utah, Nevada, New Jersey, New York, and Oklahoma.

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