AIML – Senior Machine Learning Engineer, ML Systems Evaluation Engineering

Summary

Posted: Oct 26, 2024

Weekly Hours: 40

Role Number:200575079

Do you want to play a part in building groundbreaking technology for large-scale systems, natural language, big data, and artificial intelligence? Join the Siri team at Apple! As part of Apple Intelligence, Siri is at the forefront of the next revolution in machine learning and NLP. Our innovative product redefines computing by leveraging cutting-edge technologies in Natural Language Understanding and Conversational AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide!

Description

We are seeking a highly skilled Senior Machine Learning Engineer specializing in NLP/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. 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
• Experience working with end-to-end pipelines and/or crowd-sourced data labeling
• 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 $207,800 and $378,700, 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.