AIML Privacy-Engineering Rotation

Apple Inc.

Seattle (WA)

On-site

USD 120,300 - 210,100

Full time

14 days+

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Benefits offered by this job

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Educational reimbursement
Discretionary bonuses or commission payments

Job summary

A leading technology company in Seattle seeks an experienced engineer to build privacy‑preserving technologies for measuring and machine learning. This role combines software engineering with privacy advocacy, requiring strong collaboration, communication, and problem-solving skills. Candidates should have experience with differential privacy and hold a BS in Computer Science. The position offers competitive pay between $120,300 and $210,100, along with comprehensive benefits including medical coverage, retirement benefits, and stock programs.

Qualifications

  • Strong collaboration, communication, interpersonal, and organizational skills.
  • Strong software engineering skills and ability to solve complex problems independently.
  • Experience with differential privacy or private federated learning.

Responsibilities

  • Experience a unique role with rotations on two teams to experience hands‑on software engineering and privacy engineering.
  • Work with the Privacy Preserving Measurement and ML team to design, develop and deploy measurement systems.
  • Build cross‑team consensus and collaboration.

Skills

Collaboration skills
Communication skills
Interpersonal skills
Software engineering skills
Problem solving
Differential privacy
Private federated learning

Education

BS in Computer Science or equivalent

Job description

Seattle, Washington, United States Software and Services

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 privacy to our users. This unique role combines Privacy Engineering with hands‑on software engineering work with the Privacy Preserving Machine Learning team. 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 with a strong interest in privacy in practice to take on this unique role.

Description

We are seeking an experienced engineer and privacy advocate to build privacy‑preserving technologies for measurement and machine learning and guide policy and product decisions to uphold Apple’s industry‑leading privacy bar. Successful candidates will need to have strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.

Responsibilities
  • Experience a unique role with rotations on two teams to experience hands‑on software engineering and privacy engineering. At the end of the rotation period, you will have the opportunity to continue in either of the teams full‑time.
  • Work with the Privacy Preserving Measurement and ML team to design, develop and deploy end‑to‑end measurement systems with high utility that meet Apple’s industry‑leading privacy bar.
  • Work with the Privacy Engineering team to communicate system design tradeoffs, privacy risks and potential mitigations to senior leadership to drive decisions.
  • Build cross‑team consensus and collaboration.
Minimum Qualifications
  • Strong collaboration, communication, interpersonal, and organizational skills.
  • Strong software engineering skills and ability to solve complex problems independently.
  • Experience with differential privacy or private federated learning.
  • BS in Computer Science, EE or equivalent experience.
Preferred Qualifications
  • Real‑world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.
  • Participation in public standards forums or academic publications in privacy and machine learning strongly preferred.
  • Ability to analyze systems’ architectures for privacy impact.
  • Ability to learn and research new technologies and use‑cases rapidly, assess privacy exposures, and suggest mitigations.

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 $120,300 and $210,100, 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 all 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.

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