October 29, 2024

AIML - Senior Software Engineer - ML Platform & Technology (MLPT)

Senior • On-site

$175,800 - $312,200/yr

Santa Clara, CA

Summary

Posted:
Role Number:200576094
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 for this position is an experienced software engineer with a strong background in backend development and API design. They should be skilled in building scalable, high-performance RESTful services and have a proven track record of implementing APIs that serve SDKs and front-end user interfaces. This candidate should have understanding both the architectural challenges and practical aspects of deploying and maintaining services in cloud environment. 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 workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.

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

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

Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  • 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.