Apple Inc. is hiring: Software / ML Engineer Products -iCloud in San Diego
Apple Inc., San Diego, CA, United States
San Diego, California, United States Software and Services
You will join a fast-paced and high growth team within the Apple Cloud organization with the opportunity to have a direct impact on the company results. At Apple, we believe that breakthrough products emerge when engineering quality meets visionary thinking. We’re seeking a Machine Learning Engineer to join the anti-spam solutions for iCloud Mail, Calendar, and Contacts—someone who will be responsible for ensuring millions of iCloud customers have an extraordinary experience by preventing spam from entering users’ mailboxes and calendars. You will write software and implement end-to-end anti-abuse solutions and integrate them into Mail, Calendar, and Contacts systems, and improve the overall end-to-end user experience. You will also be collaborating with various teams like Apple Trust and Safety, Anti-abuse Operations team, and other key stakeholders to ensure flawless experiences for iCloud customers.
Description
By joining the iCloud Anti-Abuse team, you will be responsible for protecting millions of iCloud users from spam, phishing, and other malicious content across Mail, Calendar, and Contacts. This role combines deep technical expertise in machine learning and anti-abuse systems with strong communication skills to drive innovation in user protection. This role offers the opportunity to make a significant impact on user safety and experience while working with cutting-edge technology at one of the world’s most innovative companies.
Responsibilities
Build and improve systems for spam, phishing and abuse prevention using advanced AI/ML techniques
Improve overall security, system reliability, availability and performance of anti-abuse services
Come up with a high level architecture for services and data handling at a large scale
Partner with Apple Trust and Safety, Anti-abuse Operations, and other key stakeholders to deliver comprehensive protection solutions
Integrate anti-abuse solutions into Mail, Calendar, Contacts pipelines and ensure optimal performance and user experience
Drive advancement in techniques for abuse detection and prevention
We are seeking a strong technical hands‑on engineer, who applies technical perfection towards the end goal of driving real business impact. You should feel a personal stake in the services we are responsible for, have excellent interpersonal skills and the ability to build positive relationships with the people you work with.
Our work is complex, bold and highly visible. The opportunities for you to make an impact here are boundless.
Minimum Qualifications
3-5 years of Java coding experience
3+ years of hands‑on software engineering experience with building systems at scale
Experience with large‑scale distributed systems and high‑availability services
Strong understanding of software engineering principles and best practices
Demonstrated ability to work in fast‑paced, multifaceted environments
Experience collaborating with cross‑functional teams and stakeholders
BS/MS/PhD in Computer Science, Machine Learning, or related technical field
Preferred Qualifications
5-7 years of Java coding experience
5+ years of hands‑on software engineering experience with building systems at scale
Understanding of various abuse vectors and techniques to overcome them
Proven expertise in machine learning and various classification model techniques, reputation systems, and applying these techniques toward preventing abuse, fraud or product integrity
Proven expertise in end‑to‑end machine learning lifecycle including data collection, processing, training, model building, inference, and feedback loops
Understanding of protocols like IMAP, SMTP, CalDAV, and CardDAV
Experience in email security, content filtering, or related security domains
Understanding of privacy‑preserving machine learning techniques and data handling best practices
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 $139,500 and $258,100, 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 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: We’re seeking a Machine Learning Engineer to join the anti-spam solutions for iCloud Mail, Calendar, and Contacts . The role combines deep technical expertise in machine learning and anti-abuse systems with strong communication skills . We are seeking a strong technical hands‑on engineer, who applies technical perfection towards the end goal of driving real business impact .
En Español: En Apple, creemos que los productos innovadores surgen cuando la calidad de la ingeniería se encuentra con el pensamiento visionario. Buscamos un Ingeniero de Aprendizaje Automático para unirse a las soluciones anti-spam de iCloud Mail, Calendario y Contactos. Alguien que será responsable de garantizar que millones de clientes de iCloud tengan una experiencia extraordinaria al evitar que el spam entre en cajas de correo y calendarios de usuarios. Escribirá software e implementará soluciones antifriciales de extremo a extremo e integrarlas en sistemas de correos electrónicos, calendario y contactos, y mejorará la experiencia general del usuario final. También estará colaborando con equipos de expertos como Apple y equipo de operaciones antinafiliación, seguridad y otros sistemas clave para protegerse de las habilidades técnicas de uso automático de mensajería móvil y otras tecnologías. Esta función ofrece la oportunidad de tener un impacto significativo en la seguridad y experiencia del usuario mientras trabaja con tecnología de vanguardia en una de las empresas más innovadoras del mundo. Responsabilidades Construir y mejorar sistemas para prevenir el spam, el phishing y los abusos utilizando técnicas avanzadas de IA/ML Mejorar la seguridad general, fiabilidad del sistema, disponibilidad y rendimiento de los servicios anti-abuso Componer una arquitectura de alto nivel para los servicios y el manejo de datos a gran escala Colaborando con Apple Trust and Safety, Anti-Abuse Operations y otras partes interesadas clave para ofrecer soluciones integrales de protección Integrar soluciones contra abusos en Correos, Calendarios, Contactos Pipelines y garantizar el óptimo desempeño y la experiencia de uso de los usuarios En las técnicas de detección y prevención de abusos Buscamos un ingeniero técnico fuerte que aplique la perfección hacia el fin de los Servicios personales. Calificaciones mínimas 3-5 años de experiencia en codificación Java 3+ años de experiencias prácticas en ingeniería de software con la construcción de sistemas a escala Experiencia con sistemas distribuidos a gran escala y servicios de alta disponibilidad Comprensión sólida de los principios y las mejores prácticas de ingeniería del software Capacidad demostrada para trabajar en entornos multifacéticos y rápidos Experiencia colaborando con equipos interfuncionales y partes interesadas BS/MS/PhD en informática, aprendizaje automático o campo técnico relacionado Qualificaciones preferentes 5-7 años de experimentación en código de Java 5 + años de esperiencia práctica en software con sistemas de construcción a escala Entendimiento de varios vectores y técnicas de abuso para superarlos Conocimiento comprobado de conocimientos sobre el aprendizaje de máquina y varias técnicas de clasificación, sistemas de reputación y aplicación de estas técnicas hacia la prevención de abusos, fraudes o recopilación de productos Conocimientos técnicos en materia de integridad proveen una mejor oportunidad para desarrollar prácticas dentro del ámbito de desarrollo de datos, incluida la vida útil, formación, procesamiento de contenidos e implementación de un paquete de correos electrónicos. El rango de salario básico para este papel es entre $139,500 y $258,100, y su pago 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. Apple acepta solicitudes para esta publicación de forma continua. #J-18808-Ljbffr
You will join a fast-paced and high growth team within the Apple Cloud organization with the opportunity to have a direct impact on the company results. At Apple, we believe that breakthrough products emerge when engineering quality meets visionary thinking. We’re seeking a Machine Learning Engineer to join the anti-spam solutions for iCloud Mail, Calendar, and Contacts—someone who will be responsible for ensuring millions of iCloud customers have an extraordinary experience by preventing spam from entering users’ mailboxes and calendars. You will write software and implement end-to-end anti-abuse solutions and integrate them into Mail, Calendar, and Contacts systems, and improve the overall end-to-end user experience. You will also be collaborating with various teams like Apple Trust and Safety, Anti-abuse Operations team, and other key stakeholders to ensure flawless experiences for iCloud customers.
Description
By joining the iCloud Anti-Abuse team, you will be responsible for protecting millions of iCloud users from spam, phishing, and other malicious content across Mail, Calendar, and Contacts. This role combines deep technical expertise in machine learning and anti-abuse systems with strong communication skills to drive innovation in user protection. This role offers the opportunity to make a significant impact on user safety and experience while working with cutting-edge technology at one of the world’s most innovative companies.
Responsibilities
Build and improve systems for spam, phishing and abuse prevention using advanced AI/ML techniques
Improve overall security, system reliability, availability and performance of anti-abuse services
Come up with a high level architecture for services and data handling at a large scale
Partner with Apple Trust and Safety, Anti-abuse Operations, and other key stakeholders to deliver comprehensive protection solutions
Integrate anti-abuse solutions into Mail, Calendar, Contacts pipelines and ensure optimal performance and user experience
Drive advancement in techniques for abuse detection and prevention
We are seeking a strong technical hands‑on engineer, who applies technical perfection towards the end goal of driving real business impact. You should feel a personal stake in the services we are responsible for, have excellent interpersonal skills and the ability to build positive relationships with the people you work with.
Our work is complex, bold and highly visible. The opportunities for you to make an impact here are boundless.
Minimum Qualifications
3-5 years of Java coding experience
3+ years of hands‑on software engineering experience with building systems at scale
Experience with large‑scale distributed systems and high‑availability services
Strong understanding of software engineering principles and best practices
Demonstrated ability to work in fast‑paced, multifaceted environments
Experience collaborating with cross‑functional teams and stakeholders
BS/MS/PhD in Computer Science, Machine Learning, or related technical field
Preferred Qualifications
5-7 years of Java coding experience
5+ years of hands‑on software engineering experience with building systems at scale
Understanding of various abuse vectors and techniques to overcome them
Proven expertise in machine learning and various classification model techniques, reputation systems, and applying these techniques toward preventing abuse, fraud or product integrity
Proven expertise in end‑to‑end machine learning lifecycle including data collection, processing, training, model building, inference, and feedback loops
Understanding of protocols like IMAP, SMTP, CalDAV, and CardDAV
Experience in email security, content filtering, or related security domains
Understanding of privacy‑preserving machine learning techniques and data handling best practices
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 $139,500 and $258,100, 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 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: We’re seeking a Machine Learning Engineer to join the anti-spam solutions for iCloud Mail, Calendar, and Contacts . The role combines deep technical expertise in machine learning and anti-abuse systems with strong communication skills . We are seeking a strong technical hands‑on engineer, who applies technical perfection towards the end goal of driving real business impact .
En Español: En Apple, creemos que los productos innovadores surgen cuando la calidad de la ingeniería se encuentra con el pensamiento visionario. Buscamos un Ingeniero de Aprendizaje Automático para unirse a las soluciones anti-spam de iCloud Mail, Calendario y Contactos. Alguien que será responsable de garantizar que millones de clientes de iCloud tengan una experiencia extraordinaria al evitar que el spam entre en cajas de correo y calendarios de usuarios. Escribirá software e implementará soluciones antifriciales de extremo a extremo e integrarlas en sistemas de correos electrónicos, calendario y contactos, y mejorará la experiencia general del usuario final. También estará colaborando con equipos de expertos como Apple y equipo de operaciones antinafiliación, seguridad y otros sistemas clave para protegerse de las habilidades técnicas de uso automático de mensajería móvil y otras tecnologías. Esta función ofrece la oportunidad de tener un impacto significativo en la seguridad y experiencia del usuario mientras trabaja con tecnología de vanguardia en una de las empresas más innovadoras del mundo. Responsabilidades Construir y mejorar sistemas para prevenir el spam, el phishing y los abusos utilizando técnicas avanzadas de IA/ML Mejorar la seguridad general, fiabilidad del sistema, disponibilidad y rendimiento de los servicios anti-abuso Componer una arquitectura de alto nivel para los servicios y el manejo de datos a gran escala Colaborando con Apple Trust and Safety, Anti-Abuse Operations y otras partes interesadas clave para ofrecer soluciones integrales de protección Integrar soluciones contra abusos en Correos, Calendarios, Contactos Pipelines y garantizar el óptimo desempeño y la experiencia de uso de los usuarios En las técnicas de detección y prevención de abusos Buscamos un ingeniero técnico fuerte que aplique la perfección hacia el fin de los Servicios personales. Calificaciones mínimas 3-5 años de experiencia en codificación Java 3+ años de experiencias prácticas en ingeniería de software con la construcción de sistemas a escala Experiencia con sistemas distribuidos a gran escala y servicios de alta disponibilidad Comprensión sólida de los principios y las mejores prácticas de ingeniería del software Capacidad demostrada para trabajar en entornos multifacéticos y rápidos Experiencia colaborando con equipos interfuncionales y partes interesadas BS/MS/PhD en informática, aprendizaje automático o campo técnico relacionado Qualificaciones preferentes 5-7 años de experimentación en código de Java 5 + años de esperiencia práctica en software con sistemas de construcción a escala Entendimiento de varios vectores y técnicas de abuso para superarlos Conocimiento comprobado de conocimientos sobre el aprendizaje de máquina y varias técnicas de clasificación, sistemas de reputación y aplicación de estas técnicas hacia la prevención de abusos, fraudes o recopilación de productos Conocimientos técnicos en materia de integridad proveen una mejor oportunidad para desarrollar prácticas dentro del ámbito de desarrollo de datos, incluida la vida útil, formación, procesamiento de contenidos e implementación de un paquete de correos electrónicos. El rango de salario básico para este papel es entre $139,500 y $258,100, y su pago 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. Apple acepta solicitudes para esta publicación de forma continua. #J-18808-Ljbffr