Postmates Jobs in Oakland – Machine Learning Engineer

Job Description:

Build end-to-end machine learning (ML) systems of designing, training, testing, and deploying machine learning models. Model and forecast demand and supply to enable more intelligent matching, optimize the overall market place efficiency and provide valuable insights to our merchants and Postmates. Write production-level codes to train ML models into working pipelines and services to serve production online traffic. Monitor and develop large scale machine learning algorithms and infrastructure that powers our Search Ranking models and Personalized Recommendation Engine. Use strong communication skills (written and verbal) to apply machine learning to solve complex business problems and optimize critical business metrics and work closely with product managers and data analysts to frame machine learning problems within the business context. Predict the Postmates Delivery Time (PDT) and improve the efficiency (including batching and chaining) and reliability of the dispatching algorithm. Determine the optimal pricing strategies to help our Postmates maximize their revenue. Participate in code reviews to ensure code quality and distribute knowledge. Identify suspicious transactions and malicious users for risk control. Create Natural Language Processing to understand text content on Postmates platform, including named entity resolution and reorganization of reviews, descriptions, and interactions between users on our marketplace. May work remotely. Salary: $180,000 per year.

Job Requirements:

Bachelor’s degree or U.S. equivalent in Computer Science, Statistics, Machine Learning, or a related field, plus 5 years of professional experience performing machine learning and data science analysis (including designing machine learning systems). Must also have the following: 1 year of professional experience writing high-performance production quality codes; 1 year of professional experience developing software with one of Java/C++/Go/Scala/Python programming languages; 1 year of professional experience building machine learning models, feature engineering, feature selection, and solving machine learning issues (including overfitting); 1 year of professional experience analyzing experimental and observational data and communicating findings using data warehouse infrastructure tools and storage systems (including one of Hive, HBase, Google BigQuery, and Bigtable); 1 year of professional experience processing data using analytics platforms and engines (including Airflow, Spark, and MapReduce); 1 year of professional experience operating in machine learning frameworks (including one of Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn). In lieu of a bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Science, Statistics, Machine Learning, or a related field, plus 3 years of professional experience performing machine learning and data science analysis (including designing machine learning systems). Must also have the following: 1 year of professional experience writing high-performance production quality codes; 1 year of professional experience developing software using one of Java/C++/Go/Scala/Python programming languages; 1 year of professional experience building machine learning models, feature engineering, feature selection, and solving machine learning issues (including overfitting); 1 year of professional experience analyzing experimental and observational data and communicating findings using data warehouse infrastructure tools and storage systems (including one of Hive, HBase, Google BigQuery, and Bigtable); 1 year of professional experience processing data using analytics platforms and engines (including Airflow, Spark, and MapReduce); 1 year of professional experience operating in machine learning frameworks (including one of Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn).

Job Details:

Company:  Postmates Inc

Vacancy Type:  Full Time

Job Location: Oakland, CA, US

Application Deadline: N/A

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