AIML- Software Engineer, Machine Learning Platform Technologies Job at Apple Inc
Apple Inc., San Francisco, CA, United States
AIML- Machine Learning Engineer, Machine Learning Platform Technologies
San Francisco Bay Area, California, United States Machine Learning and AI
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Siri and Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the back-bone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at the scale of Apple.
Description
Join our dynamic team at Apple, where we design, build, and maintain large-scale infrastructure supporting search and AI features for billions of users globally. In this team, you will have the opportunity to work on large-scale, complex systems that process trillions of records and petabytes of data. You will design and implement scalable data mining information extraction algorithms and machine learning/deep learning models, work alongside Foundation Model Research teams to curate high-quality datasets for cutting-edge model architectures, and partner closely with product teams to build production-grade solutions for millions of customers in real time. We value end-to-end ownership and meticulous attention to detail, providing an environment where you can tackle complex challenges at an unparalleled scale. Your responsibilities will span the full service lifecycle, from conception and design to deployment and maintenance, offering a unique opportunity to influence Apple's AI-driven future.
Minimum Qualifications
Master's degree or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent experience
Strong experience in developing and evaluating scalable ML/DL features, demonstrating a passion for understanding and improving model/data quality
Strong programming skills and hands-on experience using one of the deep learning frameworks: PyTorch, Tensorflow or Jax.
2+ years of experience or equivalent in large-scale data processing using programming language Java, Scala or Python.
Excellent interpersonal skills able to work independently and in close partnership with ML researchers
Preferred Qualifications
The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.
Experience managing rapid prototyping and proof-of-concept development in ML/AI
Familiar with challenges associated with training large models and working with large data
Understanding of ML operations, including model development, evaluation, and deployment
Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
Familiar with Nvidia TensorRT-LLM, vLLLM, Nvidia Triton Server etc.
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 $181,100 and $318,400, 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 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 .
Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr
In Summary: The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning . The base pay range for this role is between $181,100 and $318,400 . Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount .
En Español: AIML- Ingeniero de aprendizaje automático, Tecnologías de Plataforma de Aprendizaje Automático en San Francisco Bay Area (California), Estados Unidos. Imagina lo que podrías hacer aquí. En Apple, las grandes ideas tienen una forma de convertirse en excelentes productos, servicios y experiencias del cliente muy rápidamente. Trae pasión y dedicación a tu trabajo y no se sabe qué podría lograr. ¿Quieres hacer que los productos Siri y Apple sean más inteligentes para nuestros usuarios? Tendrá la oportunidad de trabajar en la optimización de miles de millones de parámetros del lenguaje, visión y modelos de voz utilizando tecnologías avanzadas para hacer que se ejecute a escala de Apple. Descripción Únete a nuestro equipo dinámico de Apple, donde diseñamos, construimos y mantenemos infraestructura a gran escala que respalda las características de búsqueda e inteligencia artificial para billones de usuarios en todo el mundo. En este equipo, tendrá la posibilidad de trabajar sobre sistemas complejos a grande escala que procesan trillones de registros y petabytes de datos. Diseñará e implementará algoritmos escalables de extracción de información de minería de datos y aprendizaje automático/modelos de aprendizaje profundo, trabajará junto con los equipos de investigación de modelo Foundation para curar conjuntos de datos de alta calidad para arquitecturas de modelos de vanguardia, y asociarse con equipos de productos para construir soluciones de producción dirigidas a millones de clientes en tiempo real. Valoramos de extremo a extremo propiedad y atención al detalle, proporcionando un entorno en el que pueda abordar desafíos de diseño o implementación de sus capacidades mínimas a nivel de vida útil. En Ciencias de la Computación, Aprendizaje automático o campo relacionado O experiencia equivalente Experiencia fuerte en el desarrollo y evaluación de características ML/DL escalables que demuestran una pasión por comprender y mejorar la calidad del modelo / datos Habilidades sólidas de programación y experiencia práctica utilizando uno de los marcos de aprendizaje profundo: PyTorch, Tensorflow o Jax. 2+ años de experiencia o equivalentes en procesamiento de datos a gran escala usando el lenguaje de Programación Java, Scala o Python. Excelentes habilidades interpersonales capaces de trabajar independientemente y en estrecha colaboración con investigadores de ML Qualifications Preferidas La capacidad para formular problemas de aprendizado automático, diseñar, experimentar, implementar y comunicar soluciones eficazmente con equipos multifuncionales. Gestionar prototipos rápidos y desarrollar un rol-de-concepto en ML Familiaridad familiar con los desafíos asociados con modelos de capacitación grandes y trabajando con una amplia gama de operaciones de desarrollo de datos Comprender, comprobar y evaluar las capacidades personales, incluido el proceso de implementación básico dentro de nuestro paquete de conocimiento como TLS, Protecnología Nvidia y Desarrollo, etc., es parte integrante de nuestra base de trabajo. El rango de pago básico para este papel es entre $ 181,100 y $ 318,400, y su salario base dependerá de sus habilidades, calificaciones, experiencia y ubicación. Los empleados de Apple también tienen la oportunidad de convertirse en accionistas de Apple a través de la participación en los programas discrecionales de acciones del empleado de Apple. Conozca más sobre sus derechos de EEO como solicitante. Apple acepta solicitudes para esta publicación en forma continua. #J-18808-Ljbffr
San Francisco Bay Area, California, United States Machine Learning and AI
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Siri and Apple products more intelligent for our users? The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure is the back-bone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at the scale of Apple.
Description
Join our dynamic team at Apple, where we design, build, and maintain large-scale infrastructure supporting search and AI features for billions of users globally. In this team, you will have the opportunity to work on large-scale, complex systems that process trillions of records and petabytes of data. You will design and implement scalable data mining information extraction algorithms and machine learning/deep learning models, work alongside Foundation Model Research teams to curate high-quality datasets for cutting-edge model architectures, and partner closely with product teams to build production-grade solutions for millions of customers in real time. We value end-to-end ownership and meticulous attention to detail, providing an environment where you can tackle complex challenges at an unparalleled scale. Your responsibilities will span the full service lifecycle, from conception and design to deployment and maintenance, offering a unique opportunity to influence Apple's AI-driven future.
Minimum Qualifications
Master's degree or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent experience
Strong experience in developing and evaluating scalable ML/DL features, demonstrating a passion for understanding and improving model/data quality
Strong programming skills and hands-on experience using one of the deep learning frameworks: PyTorch, Tensorflow or Jax.
2+ years of experience or equivalent in large-scale data processing using programming language Java, Scala or Python.
Excellent interpersonal skills able to work independently and in close partnership with ML researchers
Preferred Qualifications
The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.
Experience managing rapid prototyping and proof-of-concept development in ML/AI
Familiar with challenges associated with training large models and working with large data
Understanding of ML operations, including model development, evaluation, and deployment
Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
Familiar with Nvidia TensorRT-LLM, vLLLM, Nvidia Triton Server etc.
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 $181,100 and $318,400, 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 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 .
Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr
In Summary: The Information Intelligence Infrastructure team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning . The base pay range for this role is between $181,100 and $318,400 . Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount .
En Español: AIML- Ingeniero de aprendizaje automático, Tecnologías de Plataforma de Aprendizaje Automático en San Francisco Bay Area (California), Estados Unidos. Imagina lo que podrías hacer aquí. En Apple, las grandes ideas tienen una forma de convertirse en excelentes productos, servicios y experiencias del cliente muy rápidamente. Trae pasión y dedicación a tu trabajo y no se sabe qué podría lograr. ¿Quieres hacer que los productos Siri y Apple sean más inteligentes para nuestros usuarios? Tendrá la oportunidad de trabajar en la optimización de miles de millones de parámetros del lenguaje, visión y modelos de voz utilizando tecnologías avanzadas para hacer que se ejecute a escala de Apple. Descripción Únete a nuestro equipo dinámico de Apple, donde diseñamos, construimos y mantenemos infraestructura a gran escala que respalda las características de búsqueda e inteligencia artificial para billones de usuarios en todo el mundo. En este equipo, tendrá la posibilidad de trabajar sobre sistemas complejos a grande escala que procesan trillones de registros y petabytes de datos. Diseñará e implementará algoritmos escalables de extracción de información de minería de datos y aprendizaje automático/modelos de aprendizaje profundo, trabajará junto con los equipos de investigación de modelo Foundation para curar conjuntos de datos de alta calidad para arquitecturas de modelos de vanguardia, y asociarse con equipos de productos para construir soluciones de producción dirigidas a millones de clientes en tiempo real. Valoramos de extremo a extremo propiedad y atención al detalle, proporcionando un entorno en el que pueda abordar desafíos de diseño o implementación de sus capacidades mínimas a nivel de vida útil. En Ciencias de la Computación, Aprendizaje automático o campo relacionado O experiencia equivalente Experiencia fuerte en el desarrollo y evaluación de características ML/DL escalables que demuestran una pasión por comprender y mejorar la calidad del modelo / datos Habilidades sólidas de programación y experiencia práctica utilizando uno de los marcos de aprendizaje profundo: PyTorch, Tensorflow o Jax. 2+ años de experiencia o equivalentes en procesamiento de datos a gran escala usando el lenguaje de Programación Java, Scala o Python. Excelentes habilidades interpersonales capaces de trabajar independientemente y en estrecha colaboración con investigadores de ML Qualifications Preferidas La capacidad para formular problemas de aprendizado automático, diseñar, experimentar, implementar y comunicar soluciones eficazmente con equipos multifuncionales. Gestionar prototipos rápidos y desarrollar un rol-de-concepto en ML Familiaridad familiar con los desafíos asociados con modelos de capacitación grandes y trabajando con una amplia gama de operaciones de desarrollo de datos Comprender, comprobar y evaluar las capacidades personales, incluido el proceso de implementación básico dentro de nuestro paquete de conocimiento como TLS, Protecnología Nvidia y Desarrollo, etc., es parte integrante de nuestra base de trabajo. El rango de pago básico para este papel es entre $ 181,100 y $ 318,400, y su salario base dependerá de sus habilidades, calificaciones, experiencia y ubicación. Los empleados de Apple también tienen la oportunidad de convertirse en accionistas de Apple a través de la participación en los programas discrecionales de acciones del empleado de Apple. Conozca más sobre sus derechos de EEO como solicitante. Apple acepta solicitudes para esta publicación en forma continua. #J-18808-Ljbffr