Senior Software Development Engineer, Machine Learning

About the team
Our mission is to help our consumers home discovery using sophisticated analytics and machine learning technologies atop Trulia”s unparalleled living database of all homes and hundreds of millions of consumers. We are responsible for cutting-edge machine learning products such as Home Recommendations, Consumer Engagement Predictions, and Content creation powered by computer vision. We build highly parallelized, big data, machine-learning applications in the cloud. Sounds like a Mad Lib of marketing jargon, but we’re serious…that’s what you’ll be building.

About the role Trulia is looking for a Senior Software Engineer to join a growing, world-class Machine Learning Engineering group dedicated to excellence. You”ll be responsible for building the machine learning infrastructure to support one or more of several initiatives, including but not limited to personalized recommendations and search ranking, user segmentation and consumer engagement prediction, to help make Trulia build a more neighborly world by helping our consumers discover a place they will love to live.

In this role, you will:
Design and code highly scalable, machine learning applications processing large volumes of data
Build large scale infrastructure and framework for data processing and feature generation, both in real-time and batch, to ensure that consistent data and features are used across model training as well as online and batch deployments
Provide engineering leadership to a strong team of applied scientists and machine learning engineers Own the entire development lifecycle, from concept to release Follow agile processes with a focus on delivering production-ready testable code in small iterations
Participate in all phases of quality assurance and defect resolution
Express interest in connecting to the business impact and demonstrate great sense of prioritization

Who you are
4+ years of hands-on experience with training, deploying and serving machine learning models in large scale production systems
You have in-depth knowledge of distributed systems
Experience with AWS is a plus
Experience with programming languages Python and Java
Experience with messaging systems Kafka and Kinesis
Experience with big data processing frameworks MapReduce and Spark
Experience with NoSQL database such as HBase, Cassandra, or Redis
Experience with Machine Learning frameworks such as TensorFlow, Torch, or Keras Code/Build/Deployment — git, maven, Jenkins
Experience monitoring with tools such as Datadog, Amazon Cloudwatch, or Nagios ​

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