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Applied Machine Learning Engineer - Causal Inference Recommendation

Develop AI solutions to expand restaurant selection and drive growth for merchants.
San Francisco Bay AreaNew YorkWashington DC
Senior
$140,100 - 210,100 USD / year
1 month ago

✨ About The Role

- Develop production machine learning solutions to power multiple teams including Sales Operation, Product, and Marketing - Partner with engineering and product leaders to shape the product roadmap leveraging AI/ML - Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring, and model maintenance - Utilize diverse data sources and modeling techniques such as NLP, ranking, personalization, image classification, and entity resolution to enhance the merchant experience

⚡ Requirements

- Experienced machine learning engineer with a background in developing machine learning models with business impact - Proficient in applied ML for Causal Inference and Recommendation Systems, including classical and deep learning based techniques - Strong communication skills to effectively convey technical details to non-technical stakeholders - Skilled in Python with experience in Spark, PyTorch, or TensorFlow preferred - Holds a Master's or PhD in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields
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Applied Machine Learning Engineer - Causal Inference Recommendation
San Francisco Bay AreaNew YorkWashington DC
$140,100 - 210,100 USD / year
Engineering
About DoorDash
Restaurant delivery.