AIML - Lead Machine Learning Engineer, Global Safety
Seattle, Washington, United States
Machine Learning and AI
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.
Description
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.
Minimum Qualifications
- 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
Key Qualifications
Preferred Qualifications
- Outstanding communication and presentation skills: You must be able to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Analytical skills: You must be able to conduct and oversee analyses that include data gathering, requirements specification, processing, analysis, and presentations.
- Advocacy for scientific and engineering excellence: You will define the architecture and high-level structure of our international Safety approach.
- Engineering: Oversee the development and integration of multilingual guardrail models, Alignment Approaches and Data Generation frameworks.
- Leadership: Lead teams of high-functioning machine learning and software engineers to define and deliver responsible machine learning technologies.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.