GenAI Platform Engineer, Applied Machine Learning

A technology company that creates great products, services, and customer experiences.
$175,800 - $312,200
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS

Description For GenAI Platform Engineer, Applied Machine Learning

Apple's Applied Machine Learning (AML) Solutions Team is seeking a GenAI Platform Engineer to join their innovative team. This role focuses on developing ML platforms and frameworks for generative AI applications, working at the cutting edge of technology. The position offers an opportunity to work with diverse cross-functional teams and impact various Apple lines of business.

The role involves building solutions that leverage the latest in open source technology, including LLMs and frameworks like Langchain and LLamaIndex. You'll be responsible for developing and maintaining machine learning platforms that enable business-critical ML applications across Apple's ecosystem. The position requires strong technical expertise in embeddings, vectorization, and database optimization, combined with collaborative skills to work with model developers, data scientists, and product managers.

Working at Apple means joining a company where great ideas become great products quickly. The compensation package includes a competitive base salary range of $175,800 to $312,200, plus additional benefits like stock options, comprehensive healthcare, and educational reimbursement. The role is based in the San Francisco Bay Area and offers high visibility and impact in delivering one of the industry's most advanced generative AI systems.

This is an excellent opportunity for someone with 2+ years of ML platform experience who wants to work on large-scale problems with real-world impact. The ideal candidate will combine technical expertise with strong communication skills and a product-oriented mindset. You'll be part of a team that manages Apple-scale data and pushes the boundaries of what's possible in machine learning and distributed systems.

Last updated 5 minutes ago

Responsibilities For GenAI Platform Engineer, Applied Machine Learning

  • Define and develop ML Platform and frameworks for generative AI powered applications
  • Collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers
  • Work closely with product and program teams to ensure platform features are developed in lockstep with products roadmap and business user feedbacks
  • Build and support machine learning platforms, services and frameworks

Requirements For GenAI Platform Engineer, Applied Machine Learning

Python
Java
Go
  • 2+ years of industry experience designing, building, and supporting machine learning platforms, services and frameworks
  • Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages
  • Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs
  • BS in computer science or related technical degree
  • Strong understanding of software engineering principles and fundamentals including data structures and algorithms
  • Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies
  • Experience with LLM and other related frameworks like Langchain, LLamaIndex
  • Experience with relevant programming languages, such as Java, Python or Go

Benefits For GenAI Platform Engineer, Applied Machine Learning

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan with discount
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation benefits

Interested in this job?

Jobs Related To Apple GenAI Platform Engineer, Applied Machine Learning

AIML - Software Engineer, Siri tvOS

Software engineering role focused on developing Siri's natural interaction capabilities for tvOS devices at Apple, combining AI expertise with consumer technology innovation.

AIML - Software Engineer, Search Experience (Sports, Stocks, Weather apps) - Siri & Information Intelligence

Software Engineer role at Apple focusing on machine learning and search experience for Siri and Information Intelligence team.

Cellular Machine Learning Software Engineer

Join Apple as a Cellular Machine Learning Software Engineer to develop AI/ML solutions for groundbreaking cellular technologies used in iPhone, iPad, and Watch products.

Machine Learning Engineer, Applied Machine Learning

Machine Learning Engineer role at Apple focusing on deploying ML models into production and creating scalable applications.

GenAI Platform Engineer, Applied Machine Learning

GenAI Platform Engineer position at Apple, focusing on developing and maintaining AI infrastructure and tools for enterprise applications, offering competitive salary and benefits.