AIML - Lead Machine Learning Engineer, Global Safety

Key Skills

Aartificial intelligence, Human Computer Interaction- HCI, Large Language Models - LLMs, Machine learning techniques, Objective-C, Python Programming, Swift

Job Description

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.

Minimum Qualifications

• 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

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.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.