AI/ML - Full-Stack Applications Development Engineer, Siri Understanding

Seattle, Washington, United States
Machine Learning and AI

Summary

Posted:
Weekly Hours: 40
Role Number:200224293
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly! Do you love tackling challenges that create a positive impact? If so, then we want you. Apple’s AI/ML organization is looking for a Full Stack Web Developer to develop machine-learning solutions that power amazingly intelligent user experiences. We are looking for new high-energy members to join the Siri Text to Speech team. In this highly visible role, you will be responsible for providing solutions, crafting, and maintaining applications for the Siri Understanding org.

Key Qualifications

  • Proficient in SQL and NoSQL databases to build solutions for large scale systems (preferably PostgresSQL, MongoDB, Spark)
  • Experience in Typescript/Javascript and Node.js
  • Experience in one programming language (python preferred)
  • Experience designing, building, and maintaining RESTful APIs (GraphQL preferred as well)
  • Excellent communication skills

Description

• Conceptualize, design, develop, test, deploy, maintain and improve software applications that will be used by multiple teams within AI/ML • Develop and maintain highly reliable and scalable web services and UIs that enable Machine Learning systems • Build APIs and UIs that are simple and powerful • Understand product requirements, engage with team members and customers to define solutions, architect and implement applications • Collaborate with, mentor, and influence members within your team and across other teams at Apple. *We are also open to hiring in Cupertino, CA, and Cambridge, MA*

Education & Experience

BA/BS degree in Computer Science or related technical field or equivalent practical experience.

Additional Requirements

  • • Some experience in building highly available production services, including deployment automation and scaling
  • • Some understanding of containers, infrastructure automation, Kubernetes and/or AWS preferred
  • Excellent communication and presentation skills