AIML - Machine Learning Engineer, Siri and Information Intelligence
2 weeks ago
Summary: At Apple, individual imaginations gather together and commit to values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us strengthening each other’s ideas. Here, you’ll do more than join something — you’ll add something. In the Siri and Information Intelligence organization, we work hard to power Apple Intelligence in order to build new experiences. One central part of the user experience is to deeply understand personal context (behaviors, preferences, etc.) to help users accomplish things in an intuitive, intelligent, and private manner. This requires creating ground-breaking technology to enable search for personal data on all devices where Siri is available. You would lead a team responsible for evaluating and improving personal question answering and search on Siri.
Description: In this role, you will drive a team tasked with improving personal Q&A and search quality with a focus on data and metrics. You are expected to take advantage of the Apple ecosystem that blends innovative hardware, software, and strong privacy/security guarantees. The goal is to deliver truly delighted user experiences that are uniquely Apple. You will be responsible for devising a team vision and strategy, garnering support and implementing the plan, getting feedback from partner teams, and delivering reliable systems, e.g., producing data that has empirically validated quality. You will have the opportunity to work with a wide range of organizational partners across design, product and marketing, software engineering, and machine learning and profoundly impact billions of Apple users worldwide.
Minimum Qualifications- Collaborative and product-focused
- Excellent verbal and written communication skills
- Passion for clean software architectures, intuitive UX design, and high-performance extensible software
- Fluent in Python and GoLang or similar
- BS in Computer Science or related field
- Strong and validated management experience with knowledge of ML development and production systems
- Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics)
- Ability to manage long-term product vision alongside short-term deliverables
- Strong systems experience, e.g., MLOps, DevOps, production data pipelines, etc.
- MS or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field
- 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.
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.
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