AIML-Sr. Machine Learning Platform Engineer, Measurement

Apple; Seattle (WA); On-site; USD 166,000 - 297,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Platform Engineer, where your expertise in privacy-preserving technologies will help shape the future of user privacy. In this dynamic role, you'll collaborate with talented engineers to design innovative measurement systems that uphold industry-leading privacy standards. Your contributions will directly impact the development of cutting-edge AI systems while ensuring user data remains protected. This is an exciting opportunity to work at the forefront of technology and make a meaningful difference in how privacy is integrated into machine learning solutions.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Qualifications

• 2+ years of experience in machine learning and software development.
• Experience in building production pipelines for machine learning.

Responsibilities

• Collaborate on developing end-to-end measurement systems.
• Solve complex problems in privacy-preserving measurement.

Skills

Python

Scala

C++

Problem-solving

Interpersonal skills

Education

Bachelor's degree in Computer Science

Master's degree or PhD in Computer Science

Tools

Kubernetes

Docker

Job description

AIML-Sr. Machine Learning Platform Engineer, Measurement

**Seattle, Washington, United States**

**Machine Learning and AI**

**Summary**

Posted: **Apr 17, 2025**

Role Number: **200577590**

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.

**Description**

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.

**Minimum Qualifications**

+ 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.

+ Experience in building production pipelines for machine learning.

+ Strong hands-on experience in SW development, with proficiency in one or more object-oriented programming languages such as Python, Scala, and C++.

+ Experience in building container applications, using platforms/technologies such as Kubernetes, Docker, etc.

+ Experience in PII redaction frameworks and techniques

+ Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team.

+ BS in Computer Science, EE or equivalent experience

**Preferred Qualifications**

+ Passion for customer privacy

+ Experience with differential privacy, secure multi-party computation or private federated learning

+ Experience with training, evaluating, and deploying machine learning models to production* 5+ years of industry experience

+ Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.

**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 $166,600 and $296,300, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.