Machine Learning Engineering Manager Location: Hybrid / Berlin based 5+years industry + 3+years leadership experience The client:Well established hyper-scale fintech startup - looking to apply visionary leadership to their existing data team! This is a crucial role in the engineering department, with a significant contribution to the company's future. You will have a chance to work across the complete machine learning lifecycle, including data collection/generation, annotation, model building, training, testing, and releasing. You will deliver a combination of end-to-end automation solutions and simple, reusable abstractions for complex machine learning tasks. We are looking for an engineering leader with a blend of technical and people skills. You will be expected to get into the technical details of projects within your team while also understanding how to work cross-functionally to deliver the maximum value to the end users. Your profile:• 5+ years of industry experience using data-driven approaches to solve real-world problems through building an ML-related product from end-to-end, including data collection, modeling training, experiment, and release.• 3+ years leadership experience as an engineering manager or technical lead for a group of engineers or data scientists - coaching, road mapping, and project management.• Expertise in machine learning for deep learning, and content understanding technologies, especially in NLP or CV-related areas.• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams.• Well-developed software engineering fundamentals and the ability to write production code when needed.• Good communication skills and the ability to understand and synthesize requirements across multiple project domains.• Works effectively with cross-functional teams to build a trusted partnership.• Able to perform applied research projects and bring them to production.• Strong experience with one or more general-purpose languages (Java, C/C++, Python, etc). What you will be doing:• Manage and guide a large team of Machine Learning engineers helping to set priorities and tasks• Plan and manage multiple projects to ensure successful delivery• Wrapping ML modules in reusable application components, which can be integrated into different configurations depending on the specific customer’s needs• Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension• Creatively solving problems even when the initial answer is unclear• Actively participate in discussions and give ideas/guidance• Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company

Machine Learning Engineering Manager Cupertino,California,United States Corporate Functions Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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 Apples 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 x-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** + 8+ years related experience, including 3+ years of engineering management. + Ability to actively participate in investigations into realtime and offline analysis, and draw conclusions from data, recommend actions. + Excellent leadership skills with a demonstrated ability to build and manage 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 (eg: 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 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 Cambridge,Massachusetts,United States Corporate Functions Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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 Apples 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 x-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** + 8+ years related experience, including 3+ years of engineering management. + Ability to actively participate in investigations into realtime and offline analysis, and draw conclusions from data, recommend actions. + Excellent leadership skills with a demonstrated ability to build and manage 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 (eg: 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** + 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 Manager Jobs

Machine Learning Engineering Manager
November 19, 2024

Machine Learning Engineering Manager
November 11, 2024

Machine Learning Engineering Manager
November 8, 2024

Machine Learning Engineering Manager
November 6, 2024

Machine Learning Engineering Manager
November 5, 2024

Machine Learning Engineering Manager
November 1, 2024

Machine Learning Engineering Manager
October 29, 2024

Machine Learning Engineering Manager
October 24, 2024

Machine Learning Engineering Manager
October 23, 2024

Quick filters

Top companies

Machine Learning Engineering Manager Manager Jobs

Machine Learning Engineering ManagerNovember 19, 2024

Machine Learning Engineering ManagerNovember 11, 2024

Machine Learning Engineering ManagerNovember 8, 2024

Machine Learning Engineering ManagerNovember 6, 2024

Machine Learning Engineering ManagerNovember 5, 2024

Machine Learning Engineering ManagerNovember 1, 2024

Machine Learning Engineering ManagerOctober 29, 2024

Machine Learning Engineering ManagerOctober 24, 2024

Machine Learning Engineering ManagerOctober 23, 2024