The Geo domain team is redefining how hundreds of millions of people use their devices to navigate and explore the physical world around them. We are part of a wider effort to power search across a variety of Apple products - including Siri, Spotlight, Safari, Messages, and more! As part of our team, you will be applying and improving upon the latest deep learning models in order to understand queries, retrieve and rank documents, and return useful answers to users' questions. We are looking for people with experience in information retrieval, machine learning and search ranking powered by sophisticated, high-performance data ingestion pipelines. You will join a team that combines strong technical skills, product vision, and a love of all things local to bring together the pieces needed to deliver an extraordinary Maps experience in Siri and Spotlight.
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Description
Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such we are looking for candidates with applied machine learning experience and strong engineering skills. The role will have the following responsibilities: - Analyze search ranking and relevance metrics to identify requirements, diagnose issues, and uncover opportunities. - Design and train deep learning models using PyTorch and proprietary frameworks. - Understand product requirements and translate them into well-defined modeling problems and engineering tasks. - Build, deploy, and iterate on machine-learned models for various search components including query understanding, semantic retrieval, and relevance ranking. - Develop and maintain large-scale indexing and ML data pipelines that support high-throughput, low-latency serving environments.
Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a closely related quantitative discipline
- 3+ years of industry experience in information retrieval, natural language processing, machine learning or deep learning
- Proficiency in either: Python, C++, or Java, and experience with either: PyTorch, TensorFlow, or other deep learning frameworks
- Solid understanding of search and ranking systems, including retrieval, learning-to-rank, or semantic search
- Experience with large-scale data pipelines and distributed training/inference infrastructure
Preferred Qualifications
- Master's or PhD in a technical field with a focus on machine learning, natural language processing, or information retrieval
- Hands-on experience with production ML workflows (feature engineering, model training, deployment, etc.)
- Experience with large-scale distributed systems and cloud computing platforms
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.
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 about your EEO rights as an applicant .
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