Senior Machine Learning Engineer, ML Systems Evaluation Engineering

Summary

Posted:Apr 15, 2025

Weekly Hours:40

Role Number:200596924

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language understanding and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AI/ML products, that will delight and inspire millions of people!

Description

We are seeking a highly skilled Senior Machine Learning Engineer specializing in Conversational AI to join our dynamic team. Our goal is to deliver offline evaluation insights that drive model development and improvements with wins for our end-user experience, all while upholding the privacy standards that Apple is known for. The ideal candidate will play a pivotal role in the evaluation and enhancement of our Apple Intelligence products. You will collaborate closely with cross-functional teams to lead the creation and evolution of high quality datasets for evaluation of state-of-the-art models. With the advent of Apple Intelligence, you will be facing novel challenges in developing representative datasets for delivering a highly personalized user experience. The key focus area of this role is to leverage large language models (LLMs) to automatically evaluate the impact of model changes on end-user experience, as well as assess the quality and naturalness of conversations with a digital assistant. Additionally, you will harness the power of generative AI to create adversarial scenarios that anticipate future user behaviors and edge cases, enabling robust and forward-looking evaluation. These offline signals, along with the generated datasets, will be instrumental in shaping the future of Apple products, ensuring that model improvements translate into tangible benefits for our users. These datasets and associated models power the next generation of Siri and Apple products, and you will be part of this exciting journey.

Minimum Qualifications

• 7+ years of professional work experience applying machine learning to real-world problems and crafting scalable and effective data solutions, including demonstrated contributions towards the development of natural language products and/or technologies
• Experience with managing datasets for ML training and/or evaluation
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field
• Excellent programming skills in Python

Preferred Qualifications

• Good Conversational AI domain knowledge
• Excellent problem solving, critical thinking, and communication skills
• Expertise in defining and measuring evaluation coverage for large language models and agents
• Enthusiasm and ability for continuing to learn new technologies
• Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components
• Excellent understanding of an ML-based product lifecycle
• Experience delivering large-scale, cross-functional product or platform outcomes

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.

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