Machine Learning Resource Management Engineer

4 weeks ago


Cupertino, California, United States Apple Full time

About the Role:

We are seeking a highly skilled Machine Learning Resource Management Engineer to join our System Intelligent and Machine Learning (SIML) group at Apple. As a key member of our team, you will focus on building the best possible ecosystem for ML R&D engineers to develop Apple-quality ML-based technologies.

Responsibilities:

  • Co-design and implement improvements on resource management from a technical and policy standpoint.
  • Develop tools to facilitate development of ML models and collaboration around these ML models.
  • Manage the use of multiple resources such as training compute for Software Engineering, or disk footprint of on-device ML models throughout our operating systems.

Requirements:

  • Bachelors or Masters degree in Computer Science, or equivalent experience.
  • Capacity to design and lead infrastructure strategy and projects that guarantee a high level of service in a context of growing and evolving ML needs.
  • Proven experience in engineering resource management.

What We Offer:

At Apple, we offer a competitive base pay range of $143,100 to $214,500, depending on your skills, qualifications, experience, and location. You will also receive comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an Equal Opportunity Employer:

We are committed to inclusion and diversity, and 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.



  • Cupertino, California, United States CoolSnail Full time

    Job DescriptionJob Title: Machine Learning Engineer/AI EngineerWe are seeking a highly skilled Machine Learning Engineer/AI Engineer to join our team at CoolSnail. As a key member of our team, you will be responsible for designing, developing, testing, deploying, maintaining, and enhancing Machine Learning Pipelines using K8s/AKS based Argo Workflow...


  • Cupertino, California, United States Apple Full time

    Job Title: Machine Learning EngineerAbout the Role:We are seeking a highly skilled Machine Learning Engineer to join our team at Apple. As a Machine Learning Engineer, you will play a key role in developing and implementing machine learning models that power our products and services.Key Responsibilities:Design and develop machine learning models that meet...


  • Cupertino, California, United States Apple Full time

    Job SummaryApple is seeking a highly skilled Machine Learning Engineer to join our iPhone Operations Data Team. As a key member of our team, you will collaborate with engineering and operations teams to develop and deploy machine learning solutions for various vision-based tasks and projects.Key ResponsibilitiesDevelop and deploy scalable Computer Vision and...


  • Cupertino, California, United States Apple Full time

    Job Title: Senior Computer Vision and Machine Learning EngineerCompany: AppleJob Description:The ideal candidate for this role will have a strong background in computer vision and machine learning. As a Senior Computer Vision and Machine Learning Engineer at Apple, you will be responsible for designing and developing cutting-edge technologies to power...


  • Cupertino, California, United States Apple Full time

    About the RoleWe're seeking a highly skilled Senior Machine Learning Engineer to join our team at Apple. As a Senior Machine Learning Engineer, you will be responsible for designing and developing high-performance machine learning models and infrastructure in concert with designers, software/hardware engineers, and applied R&D teams.Key...


  • Cupertino, California, United States Apple Full time

    About the RoleWe are seeking a highly skilled Machine Learning Algorithm Engineer to join our team at Apple. As a key member of our Sensing, Data, and Interaction Software team, you will be responsible for developing and implementing cutting-edge machine learning algorithms and technologies to enable the best Human Interface Devices (HID) and Health Sensing...


  • Cupertino, California, United States Apple Full time

    About the RoleAt Apple, we are looking for a talented Machine Learning and AI Engineer to join our Sensing, Data, and Interaction Software team. As a key member of our team, you will be responsible for delivering differentiating technologies to enable the best Human Interface Devices (HID) and Health Sensing software products. Our team is passionate about...


  • Cupertino, California, United States Apple Full time

    Job SummaryWe are seeking a highly skilled Senior Machine Learning Engineer to join our Advertising Platforms team at Apple. As a key member of our team, you will develop and apply advanced techniques and algorithms to improve our ad network. Your expertise in machine learning, statistics, and optimization will enable you to design and implement new...


  • Cupertino, California, United States Apple Full time

    Job Title: Senior Machine Learning EngineerJob Summary:Apple is seeking a Senior Machine Learning Engineer to join our Data Analytic and Quality (DAQ) group. The ideal candidate will have a strong background in machine learning and experience with multimodal models. Key Responsibilities: Develop methods for evaluating and enhancing foundation models Conduct...


  • Cupertino, California, United States Apple Full time

    About the RoleWe are seeking a highly skilled Machine Learning Engineer to join our team at Apple. As a Machine Learning Engineer, you will be responsible for building and deploying foundation models that power Apple products.Key ResponsibilitiesDesign and develop large-scale machine learning models and systemsCollaborate with cross-functional teams to...


  • Cupertino, California, United States Apple Full time

    Job SummaryAs a Machine Learning Quality Assurance Manager at Apple, you will be responsible for managing a team of ML QA engineers dedicated to evaluating the performance and quality of machine learning models used in our photo and video editing features.This role requires a deep understanding of machine learning, quality assurance, and leadership skills to...


  • Cupertino, California, United States Apple Full time

    About the RoleWe are seeking a highly skilled Machine Learning Engineer to join our team at Apple. As a Machine Learning Engineer for Siri Understanding, you will play a key role in developing and advancing the frictionless voice invocation experience on Apple's innovative devices.Key ResponsibilitiesDevelop and integrate advanced machine learning...


  • Cupertino, California, United States Apple Full time

    About the RoleWe are seeking a highly skilled Machine Learning Engineer to join our team at Apple. As a Machine Learning Engineer, you will be responsible for building and deploying large-scale machine learning models that power our products and services.Key ResponsibilitiesDesign and develop large-scale machine learning models that meet the needs of our...


  • Cupertino, California, United States Apple Full time

    Machine Learning Engineer for Siri UnderstandingAt Apple, we're looking for a talented Machine Learning Engineer to join our Siri team. As a key member of our team, you will play a crucial role in developing and advancing the frictionless voice invocation experience on Apple's innovative devices. Your focus will be to continuously improve the invocation...


  • Cupertino, California, United States Apple Full time

    Job Title: Machine Learning Engineer - Apple Services EngineeringAbout the Role:At Apple, we're looking for an experienced Machine Learning Engineer to join our team. As a member of our Information Intelligence team, you'll have the opportunity to work on next-generation media search for Apple's groundbreaking devices and platforms, leveraging Machine...


  • Cupertino, California, United States Apple Full time

    Machine Learning Quality Assurance ManagerCupertino, California, United StatesSoftware and ServicesAt Apple, we're revolutionizing entire industries with our innovative technology. As a Machine Learning Quality Assurance Manager, you'll play a critical role in maintaining the high standards of our products by developing and implementing robust testing...


  • Cupertino, California, United States Apple Full time

    About the RoleWe are seeking a highly skilled Signal Processing and Machine Learning expert to join our Sensing, Data, and Interaction Software team at Apple. As a key member of our engineering team, you will be responsible for developing and optimizing sensing algorithms and technologies that enable the best Human Interface Devices (HID) and Health Sensing...


  • Cupertino, California, United States Centraprise Full time

    We are seeking a highly skilled Data Engineer with expertise in Machine Learning to join our team at Centraprise. The ideal candidate will have a strong background in data engineering, machine learning, and data visualization using tools like Tableau.Key Responsibilities:Design and implement data pipelines for analytics and machine learning workloadsDevelop...


  • Cupertino, California, United States Apple Full time

    Job Title: Software Quality Assurance Engineer, Machine LearningJob Summary: We are seeking a highly skilled Software Quality Assurance Engineer, Machine Learning to join our team at Apple.Key Responsibilities:* Develop and execute test plans and cases to ensure the quality of our machine learning applications* Collaborate with cross-functional teams to...


  • Cupertino, California, United States Apple Full time

    Role SummaryAs a Machine Learning Implementation Engineer at Apple, you will play a crucial role in designing and manufacturing our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). Your expertise in machine learning will be instrumental in optimizing Power, Performance, Area, and Robustness (PPAR) in our mixed-signal IP...