Distributed Systems Engineer, Instructional Products

Washington, WA, US • Posted 3 days ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • IOS Development
  • OS X
  • Cloud Computing
  • Content Development
  • User Guides
  • Computer Hardware
  • RESTful
  • Algorithms
  • Data Structure
  • Programming Languages
  • Java
  • Python
  • TypeScript
  • API
  • JSON
  • RPC
  • XML
  • Amazon Web Services
  • Amazon S3
  • Amazon EC2
  • Kubernetes
  • Messaging
  • Apache Kafka
  • Computer Science
  • MongoDB
  • Unstructured Data
  • Machine Learning (ML)
  • Natural Language Processing
  • Prompt Engineering
  • Data Collection
  • Management
  • Roadmaps
  • Software Development Methodology
  • Unit Testing
  • Release Management

Summary

Join a great team responsible for delivering instructional content for iOS, macOS,

watchOS, tvOS, through Siri, and on the web! Our team has created and maintains an evolving, cutting edge, cloud-based content development, management and delivery system platform that powers contextual help, Tips, Apple Intelligence features, and comprehensive user guides for all Apple's hardware and software products.

Description

We are seeking a Distributed Systems Engineer with expertise in building Restful APIs, Search and a working knowledge of machine learning concepts and systems. Your role will primarily involve developing backend services and creating data and inference pipelines with large set of data. This position is ideal for those passionate about enhancing search features using advanced machine learning methods.

Minimum Qualifications

Strong coding skills and solid understanding of algorithms and data structures

Proficient with various programming languages such as Go, Java, Python, TypeScript

Expert knowledge of API design and interface technologies (JSON, ProtoBuf, REST,RPC, XML, etc)

Experience with AWS Services such as Amazon S3, EC2, EKS / Kubernetes

Experience with event-based messaging systems (Kafka)

B.S, M.S. or PhD in Computer Science or equivalent experience

Preferred Qualifications

Experience with MongoDB and Unstructured data

Experience in Machine learning and/or Natural Language Processing

Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs

Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap

Solid understanding of the software development process, including unit testing and release management
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 183d1bdc34690c7a1bcdee9f8b81bb4c
  • Posted 3 days ago
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