Urgent! AIML - Engineering Manager, Search and Knowledge Quality Job Opening In Santa Clara – Now Hiring Apple
**Role Number:** 200614792-3760
**Summary**
Are you passionate about Search technologies and building knowledge experiences?
The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to get information! We are a world-class team of machine learning engineers, partnering closely with product, data science, and infrastructure teams, to power and improve features across Apple products, including Siri, Spotlight, Safari, Messages, and more.
You will guide teams operating in one of the most dynamic high-performance computing environments, handling petabytes of data and millions of queries per second.
**Description**
As Engineering Manager for the Search and Knowledge Quality team, you will be responsible for leading the development of the ranking and retrieval technologies that power question answering and search across Apple products.
You will guide your team in designing and evolving large-scale machine learning and data systems applied to graph data, web documents, and diverse structured and unstructured data sources.
In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies.
You will set technical direction, foster deep cross-functional collaboration, and deliver products that delight users daily while significantly impacting how information is accessed and applied across Apple’s ecosystem.
Your leadership will ensure that our search and knowledge experiences continue to evolve, enabling products that feel effortless, responsive, and deeply useful for hundreds of millions of users worldwide.
**Minimum Qualifications**
+ 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models
+ Proven record of consistent delivery of technology/products across the full Machine Learning life cycle
+ MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
**Preferred Qualifications**
+ Proven background in Machine Learning, NLP, and large-scale Search, with the ability to guide teams at the forefront of these fields.
+ Deep expertise in retrieval and ranking models and the broader search stack, with a track record of delivering production-quality systems at scale.
+ Strong engineering leadership and fundamentals, with experience building and mentoring high-performing teams.
+ Excellent product vision and sound business judgment; able to balance long-term strategy with short-term deliverables.
+ Exceptional communication and collaboration skills, with the ability to align cross-functional stakeholders (product, data science, infrastructure) around shared goals.
**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 $228,100 and $342,800, 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.
(https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your AIML Engineering Potential: Insight & Career Growth Guide
Real-time AIML Engineering Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AIML Engineering in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33845 jobs in United States and 423 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in AIML Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a AIML Engineering Manager, Search and Knowledge Quality to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AIML Engineering Manager, Search and Knowledge Quality Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AIML Engineering Manager, Search and Knowledge Quality typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AIML Engineering Manager, Search and Knowledge Quality interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
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