Apple Inc. is hiring: Staff Machine Learning Engineer in New York
Apple Inc., New York, NY, United States
New York City, New York, United States Machine Learning and AI
At Apple, we work every day to create products that enrich people’s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly‑performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.
The Machine Learning Platform team’s mission is to empower teams at Apple Ads to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results‑oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world‑class platform capabilities that will enable Apple Ads teams to improve and scale our ML features, models, and applications.
Description
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Apple Ads teams. As a key contributor to this team, you will design and develop secure and scalable back‑end systems. You will enjoy building high‑performing, elegant machine learning systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world‑class machine learning engineers hungry to apply leading‑edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers!
Minimum Qualifications
10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains.
Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch).
Experience with privacy‑preserving ML (federated learning, differential privacy, homomorphic encryption, secure multiparty computation) is preferred.
Familiarity with machine learning libraries and frameworks.
Experience writing machine learning applications and mission‑critical code for production machine learning systems.
Experience building and scaling cloud‑based architectures.
Experience building AI/ML tooling and/or infrastructure.
Experience working on distributed systems where scalability and performance are critical.
Prior experience in model optimization is a huge plus.
Understanding of software engineering principles for maintainable code development.
Ability to communicate effectively, both written and verbal, with technical and non‑technical multi‑functional teams.
Ability to set technical direction and deliver business impact.
Results oriented with a desire to work in a fast‑paced and collaborative work environment.
Prior experience in advertising industry is a huge plus.
Preferred Qualifications
Education & Experience
PhD/MS/BS in Computer Science or related field with 9+ years of industry experience in building large‑scale distributed software systems.
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 Machine Learning Platform team’s mission is to empower teams at Apple Ads to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers . As a key contributor to this team, you will design and develop secure and scalable back‑end systems . The base pay range for this role is between $181,100 and $318,400 .
En Español: En Apple, trabajamos todos los días para crear productos que enriquezcan la vida de las personas. Apple Ads permite a las personas de todo el mundo acceder fácilmente a contenidos informativos e imaginativos en sus dispositivos mientras ayudan a los editores y desarrolladores a promover y monetizar su trabajo. Hoy en día, nuestra tecnología y servicios impulsan la publicidad en Search Ads, App Store y Apple News. Nuestras plataformas son altamente eficientes, se implementan a escala y establecen nuevos estándares para permitir una publicidad efectiva al tiempo que protegen la privacidad del usuario. La misión del equipo de Machine Ads Platform es capacitar a los equipos de Apple Ads a construir y escalar los innovadores sistemas ML que ofrecen contenido publicitario altamente optimizado a los consumidores. ¿Es usted un ingeniero versátil orientado que puede sobresalir en un entorno ágil? Usted disfrutará de construir sistemas de aprendizaje automático de alto rendimiento y elegante desde cero, en estrechas asociaciones con varios equipos. También tendrá un buen juicio para seleccionar tecnologías y desarrollar la solución adecuada a los desafíos interesantes que enfrentamos aquí. Tendrá la oportunidad de definir y refinar arquitecturas para responder a los retos únicos de redes publicitarias que debemos resolver. desempeñará un papel significativo en la construcción de productos de aprendizajes automáticos que cumplan con los compromisos de privacidad de Apple y cambian la forma en que la publicidad trabaja con datos. Únase a nosotros y contribuya a una cultura que hace hincapié en fiabilidad, simplicidad y escalabilidad. Somos un equipo, alimentando el crecimiento de los demás y apoyándonos mutuamente en la entrega para nuestros clientes! Qualificaciones mínimas 10+ años de experiencia aplicando ML a escala en anuncios, sistemas recomendadores, clasificación de contenidos o dominios relacionados. Fuerte experiencia en arquitecturas de aprendizaje profundo (Transformers, LLM, DNNs) y marcos de capacitación (TensorFlow, PyTorch). Se prefieren experiencias con el mantenimiento de la privacidad del ML (aprendizaje federado, privacidad diferencial, cifrado homomorfo, computación multipartífica segura). Familiarización con bibliotecas y frameworks de experiencia automática. Escribir aplicaciones de aprendizado automático y código crítico de misión para sistemas de enseñanza automática de producción. Experiencia en construir y escalar estructuras basadas en la nube. Construir herramientas/MLBs orientados y/o PYTORCH. Esto proporciona la oportunidad de progresar a medida que creces y te desarrollas dentro de un papel. El rango salarial básico para este rol es entre $ 181,100 y $ 318,400, y tu salario base dependerá de tus habilidades, calificaciones, experiencia y ubicación. Los empleados de Apple también tienen la posibilidad de convertirse en accionistas de Apple mediante la participación en los programas discretarios 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
At Apple, we work every day to create products that enrich people’s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly‑performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.
The Machine Learning Platform team’s mission is to empower teams at Apple Ads to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results‑oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world‑class platform capabilities that will enable Apple Ads teams to improve and scale our ML features, models, and applications.
Description
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Apple Ads teams. As a key contributor to this team, you will design and develop secure and scalable back‑end systems. You will enjoy building high‑performing, elegant machine learning systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world‑class machine learning engineers hungry to apply leading‑edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers!
Minimum Qualifications
10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains.
Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch).
Experience with privacy‑preserving ML (federated learning, differential privacy, homomorphic encryption, secure multiparty computation) is preferred.
Familiarity with machine learning libraries and frameworks.
Experience writing machine learning applications and mission‑critical code for production machine learning systems.
Experience building and scaling cloud‑based architectures.
Experience building AI/ML tooling and/or infrastructure.
Experience working on distributed systems where scalability and performance are critical.
Prior experience in model optimization is a huge plus.
Understanding of software engineering principles for maintainable code development.
Ability to communicate effectively, both written and verbal, with technical and non‑technical multi‑functional teams.
Ability to set technical direction and deliver business impact.
Results oriented with a desire to work in a fast‑paced and collaborative work environment.
Prior experience in advertising industry is a huge plus.
Preferred Qualifications
Education & Experience
PhD/MS/BS in Computer Science or related field with 9+ years of industry experience in building large‑scale distributed software systems.
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 Machine Learning Platform team’s mission is to empower teams at Apple Ads to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers . As a key contributor to this team, you will design and develop secure and scalable back‑end systems . The base pay range for this role is between $181,100 and $318,400 .
En Español: En Apple, trabajamos todos los días para crear productos que enriquezcan la vida de las personas. Apple Ads permite a las personas de todo el mundo acceder fácilmente a contenidos informativos e imaginativos en sus dispositivos mientras ayudan a los editores y desarrolladores a promover y monetizar su trabajo. Hoy en día, nuestra tecnología y servicios impulsan la publicidad en Search Ads, App Store y Apple News. Nuestras plataformas son altamente eficientes, se implementan a escala y establecen nuevos estándares para permitir una publicidad efectiva al tiempo que protegen la privacidad del usuario. La misión del equipo de Machine Ads Platform es capacitar a los equipos de Apple Ads a construir y escalar los innovadores sistemas ML que ofrecen contenido publicitario altamente optimizado a los consumidores. ¿Es usted un ingeniero versátil orientado que puede sobresalir en un entorno ágil? Usted disfrutará de construir sistemas de aprendizaje automático de alto rendimiento y elegante desde cero, en estrechas asociaciones con varios equipos. También tendrá un buen juicio para seleccionar tecnologías y desarrollar la solución adecuada a los desafíos interesantes que enfrentamos aquí. Tendrá la oportunidad de definir y refinar arquitecturas para responder a los retos únicos de redes publicitarias que debemos resolver. desempeñará un papel significativo en la construcción de productos de aprendizajes automáticos que cumplan con los compromisos de privacidad de Apple y cambian la forma en que la publicidad trabaja con datos. Únase a nosotros y contribuya a una cultura que hace hincapié en fiabilidad, simplicidad y escalabilidad. Somos un equipo, alimentando el crecimiento de los demás y apoyándonos mutuamente en la entrega para nuestros clientes! Qualificaciones mínimas 10+ años de experiencia aplicando ML a escala en anuncios, sistemas recomendadores, clasificación de contenidos o dominios relacionados. Fuerte experiencia en arquitecturas de aprendizaje profundo (Transformers, LLM, DNNs) y marcos de capacitación (TensorFlow, PyTorch). Se prefieren experiencias con el mantenimiento de la privacidad del ML (aprendizaje federado, privacidad diferencial, cifrado homomorfo, computación multipartífica segura). Familiarización con bibliotecas y frameworks de experiencia automática. Escribir aplicaciones de aprendizado automático y código crítico de misión para sistemas de enseñanza automática de producción. Experiencia en construir y escalar estructuras basadas en la nube. Construir herramientas/MLBs orientados y/o PYTORCH. Esto proporciona la oportunidad de progresar a medida que creces y te desarrollas dentro de un papel. El rango salarial básico para este rol es entre $ 181,100 y $ 318,400, y tu salario base dependerá de tus habilidades, calificaciones, experiencia y ubicación. Los empleados de Apple también tienen la posibilidad de convertirse en accionistas de Apple mediante la participación en los programas discretarios 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