GenAI Platform Engineer, Applied Machine Learning

A technology company that creates great products, services, and customer experiences.
$175,800 - $312,200
Machine Learning
Senior Software Engineer
In-Person
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 forefront of AI technology. You'll be part of a team that builds solutions impacting various Apple lines of business, using the latest open-source technology and managing Apple-scale data.

The position offers an opportunity to work with diverse cross-functional partners, including model developers, ML engineers, and data scientists. You'll be responsible for developing and maintaining ML platforms that enable teams to build business-critical applications using LLMs. The role requires expertise in embeddings, vectorization, and database optimization, along with strong programming skills in languages like Python, Java, or Go.

This is a high-visibility position with significant impact on delivering advanced generative AI systems. You'll work closely with product teams to align platform features with business needs and user feedback. The role offers competitive compensation, including base pay between $175,800 and $312,200, plus additional benefits like stock options, comprehensive healthcare, and educational support.

Ideal candidates should have at least 2 years of experience in ML platforms, strong technical fundamentals, and excellent problem-solving skills. You'll be joining a team that values innovation, collaboration, and technical excellence, working on projects that shape the future of AI applications at Apple. The position is based in the San Francisco Bay Area, offering the chance to work with some of the industry's best talents in a dynamic, fast-paced environment.

Last updated 15 days ago

Responsibilities For GenAI Platform Engineer, Applied Machine Learning

  • Define and develop ML Platform and frameworks for generative AI powered applications
  • Collaborate with cross-functional partners including model developers, ML engineers, data scientists
  • Work with product and program teams to ensure platform features align with roadmap
  • Build and support machine learning platforms, services and frameworks
  • Develop business-critical ML apps leveraging LLMs

Requirements For GenAI Platform Engineer, Applied Machine Learning

Python
Java
Go
  • 2+ years of industry experience designing, building, and supporting machine learning platforms
  • Strong proficiency in embeddings, vectorization, vector stores, database optimization
  • Familiarity with embedding, retrieval algorithms, agents, data modeling
  • BS in computer science or related technical degree
  • Strong understanding of software engineering principles and fundamentals
  • Solid understanding of concurrency and multi-threading
  • Experience with LLM and frameworks like Langchain, LLamaIndex
  • Experience with 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
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee Stock Purchase Plan
  • Product discounts

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