AIML-Sr. Machine Learning Platform Engineer, Measurement
Apple
AIML-Sr. Machine Learning Platform 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 delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate to become a member of the Privacy Preserving Machine Learning team. We are seeking an experienced on-device machine learning engineer to join our team building privacy-preserving technologies for measurement and machine learning. In this role you will: Collaborate with other engineers to design and develop end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar. Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning. Contribute to the development of data collection systems that enable training and evaluation of generative AI systems while preserving user privacy. Successful candidates will need to have a strong technical background and interest or experience with iOS development and deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core 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 learning engineeringintermediate
- privacy-preserving technologiesintermediate
- design and development of end-to-end measurement systemsintermediate
- solving complex problemsintermediate
- development of data collection systemsintermediate
- iOS developmentintermediate
- deploying privacy-preserving systemsintermediate
- strong interpersonal skillsintermediate
- ability to influence and build consensusintermediate
- adaptability to new problems and systemsintermediate
Required Qualifications
- 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field. (experience, 2 years)
- Experience in building production pipelines for machine learning. (experience)
- Strong hands-on experience in SW development, with proficiency in one or more object-oriented programming languages such as Python, Scala, and C++. (experience)
- Experience in building container applications, using platforms/technologies such as Kubernetes, Docker, etc. (experience)
- Experience in PII redaction frameworks and techniques (experience)
- Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team. (experience)
- BS in Computer Science, EE or equivalent experience (experience)
Preferred Qualifications
- Passion for customer privacy (experience)
- Experience with differential privacy, secure multi-party computation or private federated learning (experience)
- Experience with training, evaluating, and deploying machine learning models to production* 5+ years of industry experience (experience, 5 years)
- Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field. (experience)
Responsibilities
- We are seeking an experienced on-device machine learning engineer to join our team building privacy-preserving technologies for measurement and machine learning.
- In this role you will:
- <li role="listitem" style="list-style-type:disc"><span>Collaborate with other engineers to design and develop end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Contribute to the development of data collection systems that enable training and evaluation of generative AI systems while preserving user privacy.</span></li></ul>
- Successful candidates will need to have a strong technical background and interest or experience with iOS development and deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill.
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AIML-Sr. Machine Learning Platform Engineer, Measurement
Apple
AIML-Sr. Machine Learning Platform 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 delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate to become a member of the Privacy Preserving Machine Learning team. We are seeking an experienced on-device machine learning engineer to join our team building privacy-preserving technologies for measurement and machine learning. In this role you will: Collaborate with other engineers to design and develop end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar. Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning. Contribute to the development of data collection systems that enable training and evaluation of generative AI systems while preserving user privacy. Successful candidates will need to have a strong technical background and interest or experience with iOS development and deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core 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 learning engineeringintermediate
- privacy-preserving technologiesintermediate
- design and development of end-to-end measurement systemsintermediate
- solving complex problemsintermediate
- development of data collection systemsintermediate
- iOS developmentintermediate
- deploying privacy-preserving systemsintermediate
- strong interpersonal skillsintermediate
- ability to influence and build consensusintermediate
- adaptability to new problems and systemsintermediate
Required Qualifications
- 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field. (experience, 2 years)
- Experience in building production pipelines for machine learning. (experience)
- Strong hands-on experience in SW development, with proficiency in one or more object-oriented programming languages such as Python, Scala, and C++. (experience)
- Experience in building container applications, using platforms/technologies such as Kubernetes, Docker, etc. (experience)
- Experience in PII redaction frameworks and techniques (experience)
- Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team. (experience)
- BS in Computer Science, EE or equivalent experience (experience)
Preferred Qualifications
- Passion for customer privacy (experience)
- Experience with differential privacy, secure multi-party computation or private federated learning (experience)
- Experience with training, evaluating, and deploying machine learning models to production* 5+ years of industry experience (experience, 5 years)
- Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field. (experience)
Responsibilities
- We are seeking an experienced on-device machine learning engineer to join our team building privacy-preserving technologies for measurement and machine learning.
- In this role you will:
- <li role="listitem" style="list-style-type:disc"><span>Collaborate with other engineers to design and develop end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning.</span></li>
- <li role="listitem" style="list-style-type:disc"><span>Contribute to the development of data collection systems that enable training and evaluation of generative AI systems while preserving user privacy.</span></li></ul>
- Successful candidates will need to have a strong technical background and interest or experience with iOS development and deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill.
Tags & Categories
Answer 10 quick questions to check your fit for AIML-Sr. Machine Learning Platform Engineer, Measurement @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs