AIML-Machine Learning Engineer, Measurement

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

Job summary

An established industry player is seeking a skilled Machine Learning Platform Engineer to develop innovative privacy-preserving technologies. In this dynamic role, you will collaborate with a talented team to design and implement cutting-edge measurement systems, ensuring user privacy remains paramount. Your expertise in machine learning and software development will be vital as you tackle complex challenges and contribute to the evolution of generative AI systems. This position offers a unique opportunity to work at the forefront of technology while enjoying a comprehensive benefits package, including stock options and educational reimbursements. Join a company committed to diversity and inclusion, and make a meaningful impact in the tech world.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock programs

Discounted products and services

Tuition reimbursement

Qualifications

• 2+ years of experience in machine learning and a Bachelor's degree in a related field.
• Strong hands-on experience in software development with proficiency in Python, Scala, or C++.

Responsibilities

• Collaborate to design end-to-end measurement systems prioritizing user privacy.
• Solve complex problems at the intersection of privacy and machine learning.

Skills

Machine Learning

iOS Development

Problem Solving

Object-Oriented Programming

Creativity

Education

Bachelor's in Computer Science

Master's or PhD in Computer Science

Tools

Kubernetes

Docker

Differential Privacy Techniques

Job description

AIML-Sr. Machine Learning Platform Engineer, Measurement

Seattle, Washington, United States Machine Learning and AI

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:

1. Collaborate with other engineers to design and develop end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
2. Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning.
3. 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

• 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.

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.

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.