<h3>Sr. Machine Learning Engineering Manager - Maps Search</h3>Apple Maps are being used by millions and powers thousands of applications every single day. Our mission is simple — build the best maps in the world. We are looking for an experienced Senior Engineering Manager to lead an engineering team who are passionate about building best-in-class algorithms and solutions which positively impact Business Search Features on Apple Maps. If you are seeking a role where you can grow and develop an already amazing team of innovative engineers while driving ML and Generative AI solutions at scale, we may have a role for you!DescriptionAs a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of our Search Team, you can play a huge part in the next revolution of Maps which enable users to find more places and things in more ways! As a Senior Manager on our team, you will lead all aspects of our features related to Business Search. You will be responsible for driving definitions and developing, evaluating and deploying multiple search features including large-scale machine learning models, deep-learning and natural language processing solutions which are geared towards improving Search on Maps. Successful managers at Apple are able to own details of projects and long-term vision for the team. They collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams. As a leader, you will provide technical and career mentorship to your team to ensure their success. This role also requires strong interpersonal skills and the ability to communicate technical details and dependencies to engineering partners, product management teams, and executives across Apple.Minimum Qualifications<ul><li>MS in Computer Science or related field with 10+ years of progressive software engineering management experience.</li><li>Experience in leading and developing teams which work in information retrieval domains like search, personalization, recommender systems, assistants, or related areas.</li><li>Solid understanding of indexing and ranking algorithms.</li><li>Experience with distributed systems and services.</li><li>Experience of building machine learning applications at scale.</li><li>Strong background in execution and delivery of consumer-focused features or products.</li><li>Highly developed interpersonal and communication skills with proven experience partnering with and communicating highly technical concepts and roadmaps to varying levels of partner teams, product management, and executives.</li></ul>Preferred Qualifications<ul><li>PhD preferred.</li><li>Experience evaluating and deploying multiple search features including large-scale machine learning models, deep-learning, and natural language processing solutions.</li></ul>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 $219,300 and $378,700, 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.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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Sr. Machine Learning Engineering Manager - Maps Search
Cupertino, California, United States
Software and Services
Apple Maps are being used by millions and powers thousands of applications every single day. Our mission is simple — build the best maps in the world. We are looking for an experienced Senior Engineering Manager to lead an engineering team who are passionate about building best-in-class algorithms and solutions which positively impact Business Search Features on Apple Maps. If you are seeking a role where you can grow and develop an already amazing team of innovative engineers while driving ML and Generative AI solutions at scale, we may have a role for you!
Description
As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of our Search Team, you can play a huge part in the next revolution of Maps which enable users to find more places and things in more ways! As a Senior Manager on our team, you will lead all aspects of our features related to Business Search. You will be responsible for driving definitions and developing, evaluating and deploying multiple search features including large-scale machine learning models, deep-learning and natural language processing solutions which are geared towards improving Search on Maps. Successful managers at Apple are able to own details of projects and long-term vision for the team. They collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams. As a leader, you will provide technical and career mentorship to your team to ensure their success. This role also requires strong interpersonal skills and the ability to communicate technical details and dependencies to engineering partners, product management teams, and executives across Apple.
Minimum Qualifications
MS in Computer Science or related field with 10+ years of progressive software engineering management experience
Experience in leading and developing teams which work in information retrieval domains like search, personalization, recommender systems, assistants, or related areas.
Solid understanding of indexing and ranking algorithms
Experience with distributed systems and services
Experience of building machine learning applications at scale
Strong background in execution and delivery of consumer-focused features or products
Highly developed interpersonal and communication skills with proven experience partnering with and communicating highly technical concepts and roadmaps to varying levels of partner teams, product management, and executives
Key Qualifications
Preferred Qualifications
PhD preferred
Experience evaluating and deploying multiple search features including large-scale machine learning models, deep-learning, and natural language processing solutions
Education & Experience
Additional Requirements
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 $219,300 and $378,700, 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.
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.

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Sr. Machine Learning Engineering Manager - Maps SearchCupertino, California, United StatesSoftware and ServicesApple Maps are being used by millions and powers thousands of applications every single day. Our mission is simple — build the best maps in the world. We are looking for an experienced Senior Engineering Manager to lead an engineering team who are passionate about building best-in-class algorithms and solutions which positively impact Business Search Features on Apple Maps. If you are seeking a role where you can grow and develop an already amazing team of innovative engineers while driving ML and Generative AI solutions at scale, we may have a role for you!DescriptionAs a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of our Search Team, you can play a huge part in the next revolution of Maps which enable users to find more places and things in more ways! As a Senior Manager on our team, you will lead all aspects of our features related to Business Search. You will be responsible for driving definitions and developing, evaluating and deploying multiple search features including large-scale machine learning models, deep-learning and natural language processing solutions which are geared towards improving Search on Maps. Successful managers at Apple are able to own details of projects and long-term vision for the team. They collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams. As a leader, you will provide technical and career mentorship to your team to ensure their success. This role also requires strong interpersonal skills and the ability to communicate technical details and dependencies to engineering partners, product management teams, and executives across Apple.Minimum Qualifications<ol><li>MS in Computer Science or related field with 10+ years of progressive software engineering management experience</li><li>Experience in leading and developing teams which work in information retrieval domains like search, personalization, recommender systems, assistants, or related areas.</li><li>Solid understanding of indexing and ranking algorithms</li><li>Experience with distributed systems and services</li><li>Experience of building machine learning applications at scale</li><li>Strong background in execution and delivery of consumer-focused features or products</li><li>Highly developed interpersonal and communication skills with proven experience partnering with and communicating highly technical concepts and roadmaps to varying levels of partner teams, product management, and executives</li></ol>Key QualificationsPreferred Qualifications<ol><li>PhD preferred</li><li>Experience evaluating and deploying multiple search features including large-scale machine learning models, deep-learning, and natural language processing solutions</li></ol>Education & ExperienceAdditional RequirementsPay & BenefitsAt 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 $219,300 and $378,700, 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.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.
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Machine Learning Engineering Manager
Cupertino, California, United States
Software and Services
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineering leader. This role will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a leader of the fast-paced team, you will have the outstanding opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple’s customers every day.
Description
To be successful, candidates need a strong machine learning background, proven software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a multifaceted environment. Responsibilities include:
<ol>
<li>Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.</li>
<li>Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback.</li>
<li>Lead team of machine learning engineers and collaborate with cross-functional teams overseeing the entire development lifecycle from design, implementation to operationalize robust, scalable and efficient machine learning solutions.</li>
<li>Stay up-to-date with emerging technologies, industry trends, and advancements in ML practices to find opportunities for improvement and innovation and effectively communicate with partners, providing regular updates on project status, progress, and any potential risks or challenges.</li>
</ol>
Minimum Qualifications
<ul>
<li>5+ years related experience in enterprise applications with 2+ years of managing large engineering teams.</li>
<li>Ability to actively participate in investigations into real-time and offline analysis, draw conclusions from data, and recommend actions.</li>
<li>Excellent leadership skills with a demonstrated ability to build and lead high-performing engineering teams.</li>
<li>Experience enabling large-scale, high throughput and distributed customer facing applications.</li>
</ul>
Key Qualifications
Preferred Qualifications
<ul>
<li>Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.</li>
<li>Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing, including RAG based Generative AI and transformer architecture.</li>
<li>Experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Spark, SQL, Snowflake/Hadoop, etc).</li>
<li>Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.</li>
</ul>
Education & Experience
Additional Requirements
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 $190,700 and $329,600, 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.
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.
#J-18808-Ljbffr

Sr. Machine Learning Engineering Manager - Maps Search Cupertino,California,United States Software and Services Apple Maps are being used by millions and powers thousands of applications every single day. Our mission is simple build the best maps in the world. We are looking for an experienced Senior Engineering Manager to lead an engineering team who are passionate about building best-in-class algorithms and solutions which positively impact Business Search Features on Apple Maps. If you are seeking a role where you can grow and develop an already amazing team of innovative engineers while driving ML and Generative AI solutions at scale, we may have a role for you Description As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. As a part of our Search Team, you can play huge part in the next revolution of Maps which enable users to find more places and things in more ways As a Senior Manager on our team, you will lead all aspects of our features related to Business Search. You will be responsible for driving definitions and developing, evaluating and deploying multiple search features including large-scale machine learning models, deep-learning and natural language processing solutions which are geared towards improving Search on Maps. Successful managers at Apple are able to own details of projects and long-term vision for the team. They collaborate optimally with partner/product teams to set the goals, expectations, and roadmaps for their teams. As a leader, you will provide technical and career mentorship to your team to ensure their success. This role also requires strong interpersonal skills and the ability to communicate technical details and dependencies to engineering partners, product management teams, and executives across Apple. Minimum Qualifications MS in Computer Science or related field with 10 years of progressive software engineering management experience Experience in leading and developing teams which work in information retrieval domains like search, personalization, recommender systems, assistants, or related areas. Solid understanding of indexing and ranking algorithms Experience with distributed systems and services Experience of building machine learning applications at scale Strong background in execution and delivery of consumer-focused features or products Highly developed interpersonal and communication skills with proven experience partnering with and communicating highly technical concepts and roadmaps to varying levels of partner teams, product management, and executives Key Qualifications Preferred Qualifications PhD preferred Experience evaluating and deploying multiple search features including large-scale machine learning models, deep-learning, and natural language processing solutions Education & Experience Additional Requirements 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 $219,300 and $378,700, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) Apple Footer 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Machine Learning Engineering Manager

Cupertino, California, United States

Software and Services

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineering leader. This role will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a leader of the fast-paced team, you will have the outstanding opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple’s customers every day.

Description

To be successful, candidates need a strong machine learning background, proven software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a multifaceted environment. Responsibilities include:

Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence.

Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback.

Lead team of machine learning engineers and collaborate with cross-functional teams overseeing the entire development lifecycle from design, implementation to operationalize robust, scalable and efficient machine learning solutions.

Stay up-to-date with emerging technologies, industry trends, and advancements in ML practices to find opportunities for improvement and innovation and effectively communicate with partners, providing regular updates on project status, progress, and any potential risks or challenges.

Minimum Qualifications

5+ years related experience in enterprise applications with 2+ years of managing large engineering teams.

Ability to actively participate in investigations into real-time and offline analysis, draw conclusions from data, and recommend actions.

Excellent leadership skills with a demonstrated ability to build and lead high-performing engineering teams.

Experience enabling large-scale, high throughput and distributed customer facing applications.

Key Qualifications

Preferred Qualifications

Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.

Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing, including RAG based Generative AI and transformer architecture.

Experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Spark, SQL, Snowflake/Hadoop, etc).

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.

Education & Experience

Additional Requirements

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 $190,700 and $329,600, 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.

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.

#J-18808-Ljbffr

Machine Learning Engineering Manager Jobs in Cupertino, CA

Sr Machine Learning Engineering Manager Maps Search
December 19, 2024

Sr Machine Learning Engineering Manager Maps Search
December 15, 2024

Sr Machine Learning Engineering Manager Maps Search
December 14, 2024

Machine Learning Engineering Manager
December 9, 2024

Sr Machine Learning Engineering Manager Maps Search
November 30, 2024

Machine Learning Engineering Manager
November 28, 2024

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Machine Learning Engineering Manager Jobs in Cupertino, CA

Sr Machine Learning Engineering Manager Maps SearchDecember 19, 2024

Sr Machine Learning Engineering Manager Maps SearchDecember 15, 2024

Sr Machine Learning Engineering Manager Maps SearchDecember 14, 2024

Machine Learning Engineering ManagerDecember 9, 2024

Sr Machine Learning Engineering Manager Maps SearchNovember 30, 2024

Machine Learning Engineering ManagerNovember 28, 2024