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 theres 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 and are looking for an outstanding candidate to help us scale across Apple products.
We are seeking an experienced platform learning engineer and to join our team building privacy-preserving technologies for measurement and machine candidates will need to have a strong technical background and interest or experience with backend development and deploying data-intensive 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.
Collaborate with other engineers to design develop and deploy end to end measurement systems with high utility that meet Apples industry-leading privacy build and maintain infrastructure as code and automation systems to accelerate the teams product development and enable scaling our products to teams all across independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning. nContribute to the development of data collection systems that enable training and evaluation of generative AI systems while preserving user privacy.
2 years of industry experience with a Bachelors degree or equivalent experience in Computer Science or a related technical architecting deploying and scaling data intensive hands-on experience in SW development with proficiency in one or more programming languages such as Python Swift and building systems to orchestrate automate and harden data processing problem-solving skills creativity in finding effective solutions and the ability to collaborate with teams across the company.
Passion for customer with differential privacy secure multi-party computation private federated learning or PII redaction with DevOps/GitOps CI/CD and containerized deployment frameworks like with statistical techniques for A/B testing distribution estimation and sampling with compliance security protocols and defense in depth to reduce vulnerabilities.n5 years of industry degree or PhD or equivalent experience in Computer Science Software Engineering or a related technical field.
Required Experience:
Senior IC
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 theres no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy...
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 theres 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 and are looking for an outstanding candidate to help us scale across Apple products.
We are seeking an experienced platform learning engineer and to join our team building privacy-preserving technologies for measurement and machine candidates will need to have a strong technical background and interest or experience with backend development and deploying data-intensive 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.
Collaborate with other engineers to design develop and deploy end to end measurement systems with high utility that meet Apples industry-leading privacy build and maintain infrastructure as code and automation systems to accelerate the teams product development and enable scaling our products to teams all across independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning. nContribute to the development of data collection systems that enable training and evaluation of generative AI systems while preserving user privacy.
2 years of industry experience with a Bachelors degree or equivalent experience in Computer Science or a related technical architecting deploying and scaling data intensive hands-on experience in SW development with proficiency in one or more programming languages such as Python Swift and building systems to orchestrate automate and harden data processing problem-solving skills creativity in finding effective solutions and the ability to collaborate with teams across the company.
Passion for customer with differential privacy secure multi-party computation private federated learning or PII redaction with DevOps/GitOps CI/CD and containerized deployment frameworks like with statistical techniques for A/B testing distribution estimation and sampling with compliance security protocols and defense in depth to reduce vulnerabilities.n5 years of industry degree or PhD or equivalent experience in Computer Science Software Engineering or a related technical field.
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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