GenAI Platform Engineer, Applied Machine Learning

A leading technology company that designs, develops, and sells consumer electronics, software, and services.
$143,100 - $214,500
Machine Learning
Mid-Level Software Engineer
In-Person
2+ years of experience
AI · Enterprise SaaS

Description For GenAI Platform Engineer, Applied Machine Learning

Apple is seeking a talented GenAI Platform Engineer to join their team in building next-generation AI-powered applications. This role offers an exciting opportunity to work at the forefront of generative AI technology, designing and developing infrastructure and tools that power enterprise AI solutions. The position combines technical expertise in machine learning with platform engineering, offering a competitive base salary range of $143,100 to $214,500.

As a key member of the engineering team, you'll collaborate with data scientists, machine learning engineers, and software engineers to bring innovative AI solutions to life. The role involves designing scalable GenAI solutions, optimizing infrastructure, and building tools for model experimentation. You'll work with cutting-edge technologies including Python, Java, and Kubernetes, while staying current with the latest developments in AI and cloud technologies.

Apple offers comprehensive benefits including medical and dental coverage, retirement benefits, and various stock programs. The company's commitment to employee development is demonstrated through education reimbursement and opportunities for professional growth. The position is based in the San Francisco Bay Area, offering the chance to work with one of the world's most innovative technology companies.

The ideal candidate will bring a strong foundation in computer science, practical experience with GenAI frameworks, and excellent collaborative skills. This role presents an outstanding opportunity to shape the future of AI applications while working with a world-class team in a company known for its technological innovation and impact.

Last updated a month ago

Responsibilities For GenAI Platform Engineer, Applied Machine Learning

  • Design, develop, and maintain robust and scalable GenAI Solutions, including inference services, automated workflows and data ingestion systems
  • Optimize infrastructure resources to maximize efficiency and minimize costs
  • Build and maintain tools for model experimentation, visualization, and monitoring
  • Collaborate with cross-functional teams to understand their needs and translate them into technical solutions
  • Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies

Requirements For GenAI Platform Engineer, Applied Machine Learning

Python
Java
Kubernetes
  • BS in computer science or related technical degree
  • 2+ years of industry experience in software engineering or machine learning engineering
  • Strong proficiency in programming languages like Java or Python
  • Familiarity with GenAI frameworks (LangChain, LlamaIndex, etc.)
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes)
  • Solid understanding of Data Structures and Algorithms
  • Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs
  • Knowledge of CI/CD pipelines and DevOps practices
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

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
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Product discounts
  • Free services

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