Sr. Machine Learning Engineer, ML Systems Evaluation Engineering

Apple Inc.; Cupertino (CA); Hybride; USD 185 000 - 325 000; Plein temps

Résumé du poste

Apple Inc. is seeking a Senior Machine Learning Engineer focused on Conversational AI to deliver offline evaluation insights for state-of-the-art models while upholding strict privacy standards.

You will collaborate with cross-functional teams to curate evaluation datasets and tackle challenges in evaluating highly personalized user experiences as Apple Intelligence evolves.

Qualifications

• 7+ years of experience applying ML to real-world problems, especially NLP.
• Experience managing large-scale ML training/evaluation datasets.
• Proficient in Python.
• MS/PhD in ML, CS, or related field.

Responsabilités

• Leverage LLMs to automatically evaluate model changes and assess naturalness of conversational AI.
• Create adversarial scenarios with generative AI to anticipate edge cases for robust evaluation.
• Shape the next generation of Siri and Apple products through dataset generation and evaluation pipelines.

Connaissances

ML for NLP

Large-scale data handling

Python

Evaluation datasets

Formation

MS/PhD in ML, CS, or related field

Outils

PyTorch

TensorFlow

Description du poste

Cupertino, California, United States Machine Learning and AI

Join the team redefining what a deeply personal and integrated assistant can be.As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.Join the SCALE (Statistical Coverage and Large-scale Evaluation) team at Apple and contribute to a highly accomplished group that evaluates Siri and AI/ML models at scale to delight and inspire our users globally. If you are excited by large-scale systems, rigorous statistical evaluation, natural language understanding, and shaping the future of AI, we want you here! You’ll do more than join something, you’ll add something!

Description

We are seeking a highly skilled Senior Machine Learning Engineer specializing in Conversational AI. Our goal is to deliver offline evaluation insights that drive model development and improve the end-user experience, all while upholding Apple's strict privacy standards.In this pivotal role, you will collaborate with cross-functional teams to curate and evolve high-quality evaluation datasets for state-of-the-art models. With the advent of Apple Intelligence, you will tackle novel challenges in evaluating highly personalized user experiences.

Responsibilities

• Your key focus will be leveraging Large Language Models (LLMs) to automatically evaluate model changes (LLM-as-a-Judge) and assess the naturalness of digital assistant conversations.
• You will also harness generative AI to create adversarial scenarios that anticipate edge cases, enabling robust, forward-looking evaluation.
• Your work, and the datasets you generate, will directly shape the next generation of Siri and Apple products.

Minimum Qualifications

• 7+ years of professional experience applying machine learning to real-world problems and crafting scalable data solutions, specifically in natural language products.
• Proven experience managing large-scale datasets for ML training and/or evaluation.
• Excellent programming skills in Python
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field

Preferred Qualifications

• The qualifications that will benefit a candidate to be successful in your role. Please list no more than 6-8.
• Deep domain knowledge in Conversational AI and a strong understanding of the end-to-end ML product lifecycle.
• Expertise in defining and measuring evaluation coverage for Large Language Models (LLMs) and agentic systems.
• Track record of delivering large-scale, cross-functional ML product or platform outcomes.
• Excellent problem-solving, critical thinking, and communication skills to drive alignment across teams.
• Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components

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 $184,700 and $324,800, 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 as the EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

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Apple accepts applications to this posting on an ongoing basis.