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Staff Machine Learning Engineer - Ads Targeting - Remote Eligible

Automate targeting to deliver the most relevant audiences to advertisers with ML-driven solutions.
Remote
Senior
3 months ago

✨ About The Role

- The role involves owning and executing the mission to automate targeting and provide the most relevant audiences to advertisers using ML-driven solutions - Responsibilities include designing and implementing ML-based targeting products, driving research direction, and leading day-to-day project execution - The position requires working on large-scale offline & online experimentation of ML models for improving targeting products - Collaboration with various stakeholders across product, engineering, research, and marketing is essential to develop and prioritize the roadmap based on data analysis and industry research - The job focuses on researching, implementing, testing, and launching new model architectures for retrieval using deep learning, with a specific emphasis on improving advertiser outcomes

⚡ Requirements

- Experienced tech lead with a background in product ML teams, driving research and technical direction to enhance business outcomes through applied ML - Proficient in ads retrieval modeling, ranking, or recommendation systems with a focus on deep learning models for retrieval - Skilled in training, evaluating, testing, and deploying machine learning models, particularly with Tensorflow/Pytorch - Strong experience in large-scale data processing and pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery - Ability to collaborate effectively with cross-functional stakeholders to productize ML research and improve targeting products
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Staff Machine Learning Engineer - Ads Targeting - Remote Eligible
Remote
Engineering
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