Platform Engineer, Privacy Preserving ML
19 days ago Cupertino, CA
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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, and are looking for an outstanding candidate to help us scale across Apple products.
Description
We are seeking an experienced platform learning engineer and to join our team building privacy-preserving technologies for measurement and machine learning. Successful 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.","responsibilities":"Collaborate with other engineers to design, develop, and deploy end to end measurement systems with high utility that meet Apple's industry-leading privacy bar.
Support, build, and maintain infrastructure as code and automation systems to accelerate the team's product development and enable scaling our products to teams all across Apple.
Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning.
Contribute to the development of data collection, training, and evaluation of
generative AI and Machine Learning systems while preserving user privacy.
Preferred Qualifications
Passion for customer privacy.
Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
Experience with statistical techniques for A/B testing, distribution estimation, and sampling theory.
Experience with compliance, security protocols, and defense in depth to reduce vulnerabilities.
5+ years of industry experience.
Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.
Minimum Qualifications
0-2 years of industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field.
Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
Experience architecting, deploying, and scaling data intensive systems.
Strong hands-on experience in SW development, with proficiency in one or more programming languages such as Python, Swift, and C++.
Experience building systems to orchestrate, automate, and harden data processing pipelines.
Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company.
Pay & Benefits
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 $129,300 and $225,300, 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.
Description
We are seeking an experienced platform learning engineer and to join our team building privacy-preserving technologies for measurement and machine learning. Successful 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.","responsibilities":"Collaborate with other engineers to design, develop, and deploy end to end measurement systems with high utility that meet Apple's industry-leading privacy bar.
Support, build, and maintain infrastructure as code and automation systems to accelerate the team's product development and enable scaling our products to teams all across Apple.
Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning.
Contribute to the development of data collection, training, and evaluation of
generative AI and Machine Learning systems while preserving user privacy.
Preferred Qualifications
Passion for customer privacy.
Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
Experience with statistical techniques for A/B testing, distribution estimation, and sampling theory.
Experience with compliance, security protocols, and defense in depth to reduce vulnerabilities.
5+ years of industry experience.
Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.
Minimum Qualifications
0-2 years of industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field.
Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
Experience architecting, deploying, and scaling data intensive systems.
Strong hands-on experience in SW development, with proficiency in one or more programming languages such as Python, Swift, and C++.
Experience building systems to orchestrate, automate, and harden data processing pipelines.
Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company.
Pay & Benefits
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 $129,300 and $225,300, 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.
Additional Information
- Salary: $129,300 – $225,300
- Posted: 19 days ago