Senior Machine Learning Systems Engineer

Summary

Our team is building next generation systems and tools supporting the research and development of machine learning features, and their integration into the products Apple customers love. We're a fast moving, highly skilled but small 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 engineers who loves 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 engineering 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 may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.

You will be successful and feel fulfilled in our team 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.
• 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 $175,800 and $312,200, 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. 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 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. Learn more about your EEO rights as an applicant.