AIML-Sr. Machine Learning Platform Engineer, Measurement
2 days ago
AIML-Sr. Machine Learning Platform Engineer, Measurement
Cupertino, California, United States
Machine Learning and AI
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 iOS 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.
- Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team.
Key Qualifications
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.
Education & Experience
Additional Requirements
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 $143,100 and $264,200, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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