AIML - Lead Machine Learning Engineer, Global Safety

Apple is a leading technology company known for innovative products and services.
$175,800 - $312,200
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI

Description For AIML - Lead Machine Learning Engineer, Global Safety

Are you interested in contributing to the development of the next generation of generative AI applications at Apple? Do you possess a passion for languages and international markets? We are actively expanding our generative AI products globally.

In this role, you will have the opportunity to address innovative challenges in machine learning, particularly focusing on generative models. As a member of the Global Safety team at Apple, you will work in a fast pace environment to assess bias and harm in models and focus on mitigating and identifying solutions tailored specifically to each of our international markets. Our team is currently interested in large generative models for vision and language, with a specific focus on safety, robustness, and uncertainty in models.

We are responsible for ensuring the seamless and safe end-to-end experience across our generative features in global markets, adhering to Apple's global standards. Our team manages a diverse range of responsibilities tailored to our global markets, encompassing international policy making, overseeing red teaming initiatives, conducting general safety evaluations, multilingual guardrail modeling, model alignment and experimentations.

You will be responsible for establishing and defining safety best practices, streamlining evaluations, and working on model alignment, with a specific focus on multilingual models and data generation. Your work will be highly cross-functional, involving collaboration with highly skilled machine learning engineers, software engineers, policy makers, and design teams worldwide to develop and deliver groundbreaking solutions. You'll use your expertise in technology's societal implications to contribute to research projects and improve the safety development ecosystem.

Last updated 15 days ago

Responsibilities For AIML - Lead Machine Learning Engineer, Global Safety

  • Establish and define safety best practices
  • Streamline evaluations
  • Work on model alignment, focusing on multilingual models and data generation
  • Collaborate with machine learning engineers, software engineers, policy makers, and design teams worldwide
  • Contribute to research projects and improve the safety development ecosystem
  • Define the architecture and high-level structure of international Safety approach
  • Oversee the development and integration of multilingual guardrail models, Alignment Approaches and Data Generation frameworks
  • Lead teams of high-functioning machine learning and software engineers

Requirements For AIML - Lead Machine Learning Engineer, Global Safety

Python
  • Ph.D., M.S. or equivalent experience in Computer Science, Machine Learning, and/or Human-Computer Interaction
  • 7+ years proven experience working on Machine Learning building Products facing external customers
  • Proficient in one more programming languages Python/Swift/ObjectiveC
  • Strong in research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models

Benefits For AIML - Lead Machine Learning Engineer, Global Safety

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement
  • Employee stock programs
  • Discretionary bonuses
  • Relocation assistance

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