AI/ML - Full-Stack Applications Development Engineer, Siri and Language Technologies

Seattle, Washington, United States
Machine Learning and AI

Summary

Posted:
Role Number:200422531
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 and Language Technologies org.

Key Qualifications

  • 4+ years of industry experience
  • Proficient in SQL and NoSQL databases to build solutions for large scale systems (e.g., PostgresSQL, MongoDB, Spark, ORM)
  • Experience with web development frameworks (e.g., Node.js, Spring Boot)
  • Experience with modern programming languages/environments (e.g., Typescript/Javascript, Python, Java/J2EE)
  • Experience designing, building, and maintaining RESTful APIs (GraphQL preferred as well)

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 • Help scale data infrastructure and drive data efficiency • Collaborate with, mentor, and influence members within your team and across other teams at Apple.

Education & Experience

BS or MS (preferred) 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 • Preferred experience with large-scale distributed data processing (e.g., Hadoop, Spark, Kafka)
  • • Some understanding of containers, infrastructure automation, Kubernetes and/or AWS preferred
  • • Excellent communication and presentation skills