AIML – Machine Learning Engineer, Siri and Information Intelligence

NLP PEOPLE; Sunnyvale (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

Join a forward-thinking company that is revolutionizing the way people interact with technology through artificial intelligence and machine learning. In this exciting role, you will work on groundbreaking projects that enhance user experiences across a variety of platforms. As part of a dynamic team, you will develop sophisticated machine learning models and contribute to innovative generative AI technologies. Your expertise will help shape the future of search and natural language processing, making a significant impact on millions of users. If you're passionate about AI and eager to push the boundaries of what's possible, this opportunity is perfect for you.

Benefits

Comprehensive medical coverage

Dental coverage

Retirement benefits

Employee stock purchase plan

Educational reimbursement

Discounted products and services

Discretionary bonuses

Relocation assistance

Qualifications

• 5+ years of experience in machine learning and deep learning.
• Strong understanding of natural language processing and information retrieval.
• Proficient in programming languages like Python, Go, Java, or C++.

Responsibilities

• Develop and evaluate domain-specific Large Language Models for AI products.
• Build machine-learned models for intent classification and query understanding.
• Integrate search functions into Apple products like Siri and Spotlight.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Information Retrieval

Data Mining

Data Analytical Skills

Interpersonal Skills

Prompt Engineering

Education

Bachelor in Computer Science

Master in Computer Science

PhD in Computer Science

Tools

Spark

Hadoop MapReduce

Hive

Impala

Python

Go

Java

C++

Job description

Summary
Posted: Dec 14, 2024
Weekly Hours: 40
Role Number: 200583028

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. We also develop innovative generative AI technologies based on Large Language Models to power innovative features in both Apple’s devices and services on the cloud!

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated ML models, using word embeddings and deep learning to understand the quality of matches, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users, and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain-specific Large Language Models for various tasks and applications in Apple’s AI-powered products and conduct applied research to transfer the cutting-edge research in generative AI to production-ready technologies.

Description

For this position within the AIML Information Integrity team, you will be tasked with identifying and spearheading the most impactful quality initiatives for Siri and Search products. We are looking for people with excellent applied ML experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

1. Make data-driven decisions to identify, compare, and prioritize opportunities to improve our Siri and Search products.
2. Develop, fine-tune, and evaluate domain-specific Large Language Models for various tasks and applications in Apple’s AI-powered products.
3. Conduct applied research to transfer the cutting-edge research in generative AI to production-ready technologies.
4. Understand product requirements, translate them into modeling tasks and engineering tasks.
5. Build machine-learned models for intent classification, entity recognition, search relevance, ranking, and query understanding problems.
6. Integrate search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
7. Build end-to-end production systems including query understanding and ranking to power search.
8. Utilize Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing.

Minimum Qualifications

• Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing, or data mining.
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of the following languages: Python, Go, Java, C++.
• Excellent knowledge and good practical skills in major machine learning algorithms.
• Excellent data analytical skills.
• Good interpersonal skills and team player.
• BS in Computer Science or related field.
• 2+ years of industry experience.

Preferred Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science, or related field.

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 $143,100 and $264,200, 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.

Company:

Apple

Level of experience (years):

Senior (5+ years of experience)