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    Machine Learning Engineer - Seattle, WA, United States - Amazon

    Amazon
    Amazon Seattle, WA, United States

    2 weeks ago

    Amazon background
    Description
    Machine Learning Engineer , AWS Product ANalytics & DAta Science (PANDAS)
    Do you want to transform millions of customer's experience of interacting with AWS products using artificial intelligence and machine learning? Do you want to stay on the cutting edge of technology (e.g.

    Gen AI, graph neural network, reinforcement learning, and forecasting models) to build scalable ML products that help service teams grow? The AWS Product Analytics and Data Science (PANDAS) team is at the forefront of leveraging cutting-edge AI/ML technology and infrastructure to redefine how internal product teams interact with and derive insights from their data.

    Our vision is to use artificial intelligence and machine learning to enable AWS product teams and business leaders to drive product growth and create personalized, optimized, and simplified product experience.

    We strive to improve customers' product experience, directly influence AWS's top line and bottom line, and help AWS business leaders drive product growth.

    We want to be a centralized ML platform team that democratizes ML capabilities to AWS product teams and transform their product and customer experience.

    You will work cross-functionally, typically collaborating with several teams of applied scientists, data engineer, product managers, and others in order to influence the business and technical strategy for a complex, high-performance organization.

    You will also drive impactful, long-term choices on system architecture, spearhead a high-quality engineering culture, leading the MLOps best practices across the org.

    Work collaboratively with cross-functional teams, including applied scientists, product managers, software engineers, and data scientists, to ensure ML solutions meet business objectives and enhance product offerings

    • Deploy machine learning platform and infrastructure into production environments, integrating them seamlessly with existing systems and applications
    • Work with our data engineers to build and manage our data pipelines to ensure scientists have timely and high quality data in production
    • Continuously monitor and evaluate model performance, employing appropriate metrics to validate and refine models.
    • As a machine learning engineer, you will work closely with your customers and stakeholders to understand their business requirements, translating them into technical solutions. You will work with crossfunctional team including applied scientists, product managers, and data engineers. You will build robust engineering pipelines and ML operation platform to support ML models. You will build model monitoring mechanism to understand model performance ensure our model meets SLA. We are a team of scientists and engineers supporting AWS product leaders to make high impact decisions through sophisticated analytical frameworks, trusted data science methods, and scalable ML products. We came from diverse backgrounds from statistics, computer science, engineering, and business analytics. We specialize in the full end to end ML development process, including data ingestion, ETL, model development, and model deployment in production. We are supporting the data science needs across AWS EC2, Database & Analytics, and S3 teams.
    Seattle, WA, USA - 3+ years of non-internship professional software development experience

    • 2+ years of noninternship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
    • Experience programming with at least one software programming language
    • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
    • 2+ years of building largescale machinelearning infrastructure for online recommendation, ads ranking, personalization or search experience
    • Bachelor's degree in computer science or equivalent

    Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

    For individuals with disabilities who would like to request an accommodation, please visit

    Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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