Manager Machine Learning, Ads Relevance and Ranking

San Francisco, CA

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Posted 1 week ago

 

OVERVIEW

We are looking for a machine learning leader to lead the modeling efforts for ad quality. The team works on improving the relevance of ads on Instacart. Ads help customers access relevant promotions/ads and help advertisers achieve their goals of reaching new customers, and retaining loyal customers. Many of these promotions help customers get prices that are lower than in-store prices and are more valuable when well-targeted. Machine Learning (ML) models play a major role in driving the selection and ranking of ads across placements and product lines so that we prioritize the best ad for each customer context.

ABOUT THE JOB

  • You will build and lead a team of machine learning engineers/scientists and set the technical direction for the team
  • You will provide hands-on technical leadership on a portfolio of ML modeling efforts including methodology/system/code review 
  • You will work closely with engineers, product managers, other teams, internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
  • You will develop a team culture of ownership that reinforces the core values of Instacart!

ABOUT YOU

  • 7+ years of industry experience using large scale machine learning to solve real-world ranking/prediction problems
  • 2+ years of experience managing a team of applied scientists/engineers where machine learning is the key impact driver. 
  • Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Knowledge of machine learning applications in online advertising
  • Extensive experience building scalable machine learning systems and data-driven products working with cross functional teams
Job tags: Keras Machine Learning ML Pandas Python Scikit-Learn Spark SQL TensorFlow XGBoost
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