Design, deploy, and maintain scalable machine learning solutions in production. Build end-to-end ML pipelines, predictive models, forecasting systems, and feature engineering workflows. Analyze large datasets, generate business insights, collaborate with engineering teams, monitor model performance, and deliver production-ready solutions using Python, Snowflake, MLOps, Scikit-learn, Pandas, NumPy, and SQL.
Seeking a Senior Machine Learning Engineer with 5+ years of experience developing, deploying, and maintaining Machine Learning solutions in production environments. Strong expertise in Machine Learning, Python, Snowflake, and MLOps, with hands-on experience building end-to-end ML pipelines, predictive models, feature engineering, forecasting, and data-driven solutions.
The ideal candidate will be responsible for designing and deploying scalable ML models, analyzing large datasets to generate business insights, collaborating with engineering teams, monitoring model performance, and delivering production-ready solutions. Experience with Scikit-learn, Pandas, NumPy, SQL, and cloud data platforms is required.
Experience: 5+ years (Band 4).
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
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