H-1B Job Board

Finding companies that sponsor visas is a lot of work.
We've made your life easier by compiling top companies and startups that hire foreign nationals.

AIML - Senior Software Engineer, ML Platform & Technology

Apple

Apple

Software Engineering, IT, Data Science
Seattle, WA, USA
Posted on Oct 11, 2024

Summary

Posted:
Weekly Hours: 40
Role Number:200561790
Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!

Description

You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and deployment. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale ML operations.

Minimum Qualifications

  • Bachelors in Computer Science, engineering, or a related field
  • Demonstrated ability in software engineering with a focus on distributed systems
  • Proven experience in building complex micro-services
  • Experience with cloud platforms such as: AWS, GCP, or Azure
  • Proficiency in programming languages such as Python, Java, or Go
  • In depth knowledge of distributed systems including: consistency, availability, and fault tolerance
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Strong communication and collaboration abilities

Key Qualifications

Preferred Qualifications

  • Advance degrees in Computer Science, engineering, or a related field
  • Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow)
  • Experience with CI/CD processes and tools
  • Experience with MLOps practices and tools

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.