RWE · 2 days ago

Software Engineer - Machine Learning Pipelines

Bellevue, WA

Full-time

Hybrid

Mid Level

2+ years exp

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Responsibilities

Design, develop, and operate complex machine learning and multi-faceted data fusion pipelines in a production environment

Collaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systems

Develop reusable components, libraries, and frameworks to streamline pipeline development and maintenance

Optimize pipeline performance, reliability, and resource utilization

Continually expand knowledge of the latest advancements in machine learning technologies, cloud services, and software engineering best practices with an eye towards identifying and integrating exceptional new components into the AI lab’s production repertoire

Contribute to a team culture where diverse viewpoints, backgrounds and expertise are welcomed

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonJuliaMojoApache SparkAWSAzureGoogle Cloud PlatformDockerKubernetesGitCI/CDInfrastructure-as-CodeProblem-SolvingAttention to DetailPassion for LearningCommunicationCollaborationTeamworkStream Processing FrameworksServerless ComputingEvent-Driven ArchitecturesMLOps ToolsMonitoring ToolsLogging ToolsDebugging ToolsDistributed SystemsDatabase TechnologiesSecurity Best PracticesData PipelinesGeospatial Datasets

Required

2+ years of experience building, deploying, and monitoring complex pipelines that operate at an hours-level cadence

Experience in large scale data processing and distributed systems such as Apache Spark

Proficiency in Python, Julia, and/or Mojo

Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform

Strong understanding of containerization technologies (Docker, Kubernetes) and orchestration tools

Familiarity with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code tools

Excellent problem-solving skills, attention to detail, and a passion for learning and innovation

Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and contribute to a positive team climate