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
2+ years of experience
AI · Enterprise SaaS
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Description For GenAI Platform Engineer, Applied Machine Learning

Join Apple's Applied Machine Learning (AML) Solutions Team as a GenAI Platform Engineer, where you'll be at the forefront of developing cutting-edge machine learning platforms and frameworks for generative AI applications. This role offers an exceptional opportunity to work with Apple's diverse portfolio of products and services, making a significant impact across multiple business lines.

The position requires expertise in machine learning platforms, with a focus on LLMs, embeddings, and vector stores. You'll be working with state-of-the-art technology, collaborating with a talented team of software engineers, data scientists, and DevOps engineers to build world-class platforms at scale across cloud environments.

As a GenAI Platform Engineer, you'll be responsible for defining and developing ML platforms that enable multi-functional teams to build diverse, business-critical ML applications leveraging LLMs. The role offers high visibility and influence in delivering some of the industry's most advanced generative AI systems.

The compensation package is competitive, ranging from $175,800 to $312,200 base salary, plus additional benefits including stock options, comprehensive healthcare, and educational reimbursement. Apple's collaborative culture and commitment to innovation provide an ideal environment for professional growth and development.

Working at Apple's Sunnyvale location, you'll be part of a team that values creativity, technical excellence, and the ability to transform great ideas into impactful solutions. The role offers the opportunity to work on high-impact projects that serve various Apple lines of business, using the latest in open source technology and pushing the boundaries of what's possible in machine learning and AI.

This position is perfect for someone who combines technical expertise with strong communication skills and a product-oriented mindset. You'll be expected to collaborate with cross-functional partners and translate complex technical concepts for non-technical stakeholders. If you're passionate about generative AI and want to build platforms that will shape the future of technology, this role at Apple offers an unparalleled opportunity to make your mark.

Last updated 2 months 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
  • Build and support machine learning platforms, services and frameworks
  • Deliver industry's advanced generative AI systems

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

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