AIML-Sr. On-Device Machine Learning Engineer, Measurement
Apple
AIML-Sr. On-Device Machine Learning Engineer, Measurement
Job Description
Imagine what you could do here. At Apple, new 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. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team collaborates with various departments across the company to develop state-of-the-art privacy-enhancing technologies for privacy-preserving measurement and machine learning. We are seeking an exceptional candidate to join our esteemed team in this field. We are looking for an experienced on-device machine learning engineer to join our team and help us develop privacy-preserving technologies for measurement and machine learning. In this role you will: Collaborate with cross-functional engineers to design and develop end-to-end measurement systems that meet Apple's industry-leading privacy standards. Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning. Develop data processing systems that enable training and evaluation of generative AI systems while preserving user privacy. Successful candidates must possess a strong technical background and a keen interest or experience in iOS development, particularly in designing privacy-preserving features. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. Since you'll be working with various technologies, adaptability to new challenges and systems is a fundamental skill.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- on-device machine learningintermediate
- privacy-preserving technologiesintermediate
- applied cryptographyintermediate
- machine learningintermediate
- iOS developmentintermediate
- designing privacy-preserving featuresintermediate
- developing data processing systemsintermediate
- training and evaluation of generative AI systemsintermediate
- design and develop end-to-end measurement systemsintermediate
- strong interpersonal skillsintermediate
- ability to influence and build consensusintermediate
- adaptability to new challenges and systemsintermediate
Required Qualifications
- Proficiency in one or more object-oriented programming languages such as C++, Objective-C, Swift. (experience)
- Industry experience of iOS development, or experience of development on other embedded systems. (experience)
- Knowledge of basic privacy, security and cryptographic principles. (experience)
- Ability to analyze system architecture and assess privacy & security impacts and suggest mitigations. (experience)
- Proficiency in problem-solving, coupled with creativity in identifying effective solutions, and the ability to collaborate effectively within a cross-functional team. (experience)
- 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field. (experience, 2 years)
Preferred Qualifications
- Passion for protecting customer privacy. (experience)
- Experience with differential privacy, secure multi-party computation, trusted compute environment or private federated learning. (experience)
- Previous experience in developing security- and privacy-oriented protocols or systems, or experience in designing cryptographic algorithms. (experience)
- Experience with training, evaluating, and deploying machine learning models to production. (experience)
Responsibilities
- We are looking for an experienced on-device machine learning engineer to join our team and help us develop privacy-preserving technologies for measurement and machine learning.
- In this role you will:
- <li role="listitem" style="list-style-type:disc"><span>Collaborate with cross-functional engineers to design and develop end-to-end measurement systems that meet Apple's industry-leading privacy standards.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Develop data processing systems that enable training and evaluation of generative AI systems while preserving user privacy.</span></li></ul></ul>
- Successful candidates must possess a strong technical background and a keen interest or experience in iOS development, particularly in designing privacy-preserving features. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. Since you'll be working with various technologies, adaptability to new challenges and systems is a fundamental skill.
Tags & Categories
Answer 10 quick questions to check your fit for AIML-Sr. On-Device Machine Learning Engineer, Measurement @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
AIML-Sr. On-Device Machine Learning Engineer, Measurement
Apple
AIML-Sr. On-Device Machine Learning Engineer, Measurement
Job Description
Imagine what you could do here. At Apple, new 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. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team collaborates with various departments across the company to develop state-of-the-art privacy-enhancing technologies for privacy-preserving measurement and machine learning. We are seeking an exceptional candidate to join our esteemed team in this field. We are looking for an experienced on-device machine learning engineer to join our team and help us develop privacy-preserving technologies for measurement and machine learning. In this role you will: Collaborate with cross-functional engineers to design and develop end-to-end measurement systems that meet Apple's industry-leading privacy standards. Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning. Develop data processing systems that enable training and evaluation of generative AI systems while preserving user privacy. Successful candidates must possess a strong technical background and a keen interest or experience in iOS development, particularly in designing privacy-preserving features. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. Since you'll be working with various technologies, adaptability to new challenges and systems is a fundamental skill.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- on-device machine learningintermediate
- privacy-preserving technologiesintermediate
- applied cryptographyintermediate
- machine learningintermediate
- iOS developmentintermediate
- designing privacy-preserving featuresintermediate
- developing data processing systemsintermediate
- training and evaluation of generative AI systemsintermediate
- design and develop end-to-end measurement systemsintermediate
- strong interpersonal skillsintermediate
- ability to influence and build consensusintermediate
- adaptability to new challenges and systemsintermediate
Required Qualifications
- Proficiency in one or more object-oriented programming languages such as C++, Objective-C, Swift. (experience)
- Industry experience of iOS development, or experience of development on other embedded systems. (experience)
- Knowledge of basic privacy, security and cryptographic principles. (experience)
- Ability to analyze system architecture and assess privacy & security impacts and suggest mitigations. (experience)
- Proficiency in problem-solving, coupled with creativity in identifying effective solutions, and the ability to collaborate effectively within a cross-functional team. (experience)
- 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field. (experience, 2 years)
Preferred Qualifications
- Passion for protecting customer privacy. (experience)
- Experience with differential privacy, secure multi-party computation, trusted compute environment or private federated learning. (experience)
- Previous experience in developing security- and privacy-oriented protocols or systems, or experience in designing cryptographic algorithms. (experience)
- Experience with training, evaluating, and deploying machine learning models to production. (experience)
Responsibilities
- We are looking for an experienced on-device machine learning engineer to join our team and help us develop privacy-preserving technologies for measurement and machine learning.
- In this role you will:
- <li role="listitem" style="list-style-type:disc"><span>Collaborate with cross-functional engineers to design and develop end-to-end measurement systems that meet Apple's industry-leading privacy standards.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Develop data processing systems that enable training and evaluation of generative AI systems while preserving user privacy.</span></li></ul></ul>
- Successful candidates must possess a strong technical background and a keen interest or experience in iOS development, particularly in designing privacy-preserving features. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. Since you'll be working with various technologies, adaptability to new challenges and systems is a fundamental skill.
Tags & Categories
Answer 10 quick questions to check your fit for AIML-Sr. On-Device Machine Learning Engineer, Measurement @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs