Software Development Engineer, Data

icon location Seattle, United States
icon company Remitly

Unverified relocation package Source: remitly.com

About Remitly

At Remitly, we're helping people send over $3 billion around the globe driven by our mission to deliver on our promise to immigrants sending money across the world.

Position

Experimentation Platform. Do you like A/B tests? Does debating the merits of various algorithms in an experimentation stats engine sound interesting? You will work on a full-stack platform that leverages our data to drive business impacting decisions. You will need to solve problems like determining our treatment allocation strategy, building our stats engine to detect winning experiments and constructing a user-friendly UI used by product and marketing decision makers every day.

Stream Processing as a Service. This real time data processing system is built using Kinesis and Flink. It powers critical systems, such as a our machine learning fraud prevention system and operational real time metrics. Your job will be to expand this service to allow other teams to define complex computations on streaming data.

Machine Learning Platform. We use machine learning to solve important business problems, such as price setting and fraud detection. Increase our Machine Learning Engineers’ productivity by building tools that allow them to train, test, and deploy models faster. Construct the training pipeline that scales to large amounts of data. Create a hosting environment that empowers our Machine Learning Engineers to deploy and support their models in production.

Your qualification

  • 3+ years of experience successfully delivering applications to customers
  • The ability to collaborate with cross-functional teams to build infrastructure
  • Proficient in at least two general purpose programming languages (Java, Ruby, Python) with hands-on experience working on disparate technology stacks, including front-end user interfaces and back-end systems
  • Experience or a strong interest in building solutions leveraging big data technologies such as Hadoop, Kinesis, Kafka, Spark, Flink
  • Passionate about helping others solve problems by building data-fuel applications that make it easy for users to consume and act on large amounts of data through innovative use of visualization and data presentation

Software Development Engineer, Data

icon location Seattle, United States
icon company Remitly

Unverified relocation package Source: remitly.com

About Remitly

At Remitly, we're helping people send over $3 billion around the globe driven by our mission to deliver on our promise to immigrants sending money across the world.

Position

Experimentation Platform. Do you like A/B tests? Does debating the merits of various algorithms in an experimentation stats engine sound interesting? You will work on a full-stack platform that leverages our data to drive business impacting decisions. You will need to solve problems like determining our treatment allocation strategy, building our stats engine to detect winning experiments and constructing a user-friendly UI used by product and marketing decision makers every day.

Stream Processing as a Service. This real time data processing system is built using Kinesis and Flink. It powers critical systems, such as a our machine learning fraud prevention system and operational real time metrics. Your job will be to expand this service to allow other teams to define complex computations on streaming data.

Machine Learning Platform. We use machine learning to solve important business problems, such as price setting and fraud detection. Increase our Machine Learning Engineers’ productivity by building tools that allow them to train, test, and deploy models faster. Construct the training pipeline that scales to large amounts of data. Create a hosting environment that empowers our Machine Learning Engineers to deploy and support their models in production.

Your qualification

  • 3+ years of experience successfully delivering applications to customers
  • The ability to collaborate with cross-functional teams to build infrastructure
  • Proficient in at least two general purpose programming languages (Java, Ruby, Python) with hands-on experience working on disparate technology stacks, including front-end user interfaces and back-end systems
  • Experience or a strong interest in building solutions leveraging big data technologies such as Hadoop, Kinesis, Kafka, Spark, Flink
  • Passionate about helping others solve problems by building data-fuel applications that make it easy for users to consume and act on large amounts of data through innovative use of visualization and data presentation

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