Overview
On Site
USD 198,300.00 - 298,100.00 per year
Full Time
Skills
Research and Development
Systems Engineering
Product Development
Data Acquisition
Training
Data Processing
Evaluation
Management
Reliability Engineering
Cloud Computing
Machine Learning (ML)
Data Engineering
Computer Science
Productivity
Open Source
Payments
Job Details
Our team is building next generation systems and tools supporting the research and development of machine learning models, and their integration into the products Apple customers love. We're a fast moving, highly skilled team designing and building a collection of tools and systems used by Apple's MLEs and data scientists to build, test and deploy their products. Our systems have to scale, stay highly available, and "just work". That's a tall order, and we're looking for a talented and passionate ML Systems Engineering Manager who love dealing with such challenges.
Description Our team designs and builds ML systems and tools that support applied ML teams throughout their product development cycle. Using our systems, MLEs and data scientists perform data acquisition and synthesis, training, evaluation, and serving. In this role, you will be responsible for managing engineers who develop solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You will be successful and feel fulfilled if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Minimum Qualifications
Preferred Qualifications
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 $198,300 and $298,100, 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 .
Description Our team designs and builds ML systems and tools that support applied ML teams throughout their product development cycle. Using our systems, MLEs and data scientists perform data acquisition and synthesis, training, evaluation, and serving. In this role, you will be responsible for managing engineers who develop solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You will be successful and feel fulfilled if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Minimum Qualifications
- 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
- 2-3 years management experience
- Strong understanding in data centric systems, distributed systems, reliability, and cloud services.
- Hands-on experience in designing and coding large scale systems.
- Proven experience with applied machine learning, data engineering, or similar.
- MS in Computer Science or related experience.
Preferred Qualifications
- Experience with developer tools or developer productivity systems.
- Experience with open source or inner source
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 $198,300 and $298,100, 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.