AIML - Senior Machine Learning Engineer, Siri and Information Intelligence

ocks 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: -Make data driven decisions to identify, compare and prioritize opportunities to improve our Siri and Search products -Developing, fine-tuning, and evaluating domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products -Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks -Building machine learned models for intent classification, entity recognition, search relevance, ranking and query understanding problems -Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. -Building end-to-end production systems including query understanding and ranking to power search -Utilizing 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 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

• 5+ 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 $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.

More

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 about your EEO rights as an applicant.