Machine Learning Engineer

hace 1 mes

Zaragoza, Zaragoza, España Engineeringuk A tiempo completo
Job Title: Machine Learning Engineer, Amazon Tablets

Are you passionate about building cutting-edge AI/ML technologies that enhance the user experience for Amazon devices? Do you want to collaborate with a team of talented scientists and engineers on the next generation of intelligent customer experiences leveraging state-of-the-art deep learning and generative models?

About the Role:

We are seeking an ML Engineer who has a solid background in designing and developing scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact.

Key Responsibilities:
  1. Work with applied scientists, data scientists, engineers, and product managers to design and deliver AI/ML solutions in production at scale.
  2. Develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.
  3. Maintain and continuously improve our existing ML workflows, MLOps, and infrastructure.
  4. Deliver customer-facing and internal ML solutions that empower our devices to provide the best experience for our customers.
What We Offer:

As an early member of the team, you will play a key role in establishing a strong foundation for customer-focused machine learning. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with ML scientists in a cross-functional organization.

We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee and satisfy those needs. We are building the capabilities to give Amazon devices the ability to help customers discover and find all types of relevant information and contents through conversational interactions, suggestions, and personalized recommendations.

We are exploring ways to enable an intelligent customer experience by leveraging advanced deep learning and large language models, generative AI, and machine learning on device.

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