Sr. ML Infrastructure Engineer, Apple Data Platform

Sr. ML Infrastructure Engineer, Apple Data Platform

Cupertino, California, United States

Software and Services

Summary

Posted : Sep 30, 2025

Role Number : 200623539-0836

The Apple Data Platform (ADP) group builds the data platform that enables the next generation of intelligent experiences on all Apple products and services. ADP empowers Apple engineers to deliver ML-driven products and innovations rapidly and at scale. We are looking for an experienced engineer who can bring their passion for machine learning, infrastructure, big data, and distributed systems to build world class data+ML platform / products at scale. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving ML experience for Apple customers. Are you a passionate about building scalable, reliable, maintainable infrastructure and solving data problems at scale? Come join us and be part of the Data Infrastructure journey.

Description

Apple Ray leverages open-source Ray to offer a unified framework for processing of complex data+ML pipelines. It enables the next generation of intelligent experiences for Apple products and services by combining data and processing layers into one unified end-to-end workflow that eliminates the complexity of running multiple independent jobs while significantly improving the hardware resource efficiency and development speed. Tight integration of Apple Ray with Apple Data services makes it the go-to solution when dealing with complex and large-scale data and ML pipelines. The team enables future Apple intelligent products by making cutting edge ecosystem of data+ML technologies for large-scale and efficient systems for all data and ML engineers within Apple. As a member of the Apple Ray team, your responsibilities will include :

• Designing, implementing, and maintaining distributed systems to build world-class ML platforms / products at scale
• Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance
• Design and extend services to improve functionality and reliability of the platform
• Monitor system performance, optimize for cost and efficiency, and resolve any issues that arise Build relationships with stakeholders across the organization to better understand internal customer needs and enhance our product better for end users

Minimum Qualifications

5+ years of experience in distributed systems with deep knowledge in computer science fundamentals

Experience with containerization and orchestration technologies, such as Docker and Kubernetes.

Experience in delivering data and machine learning infrastructure in production environments

Experience configuring, deploying and troubleshooting large scale production environments

Experience in designing, building, and maintaining scalable, highly available systems that prioritize ease of use

Experience with alerting, monitoring and remediation automation in a large scale distributed environment

Extensive programming experience in Java, Python or Go

Strong collaboration and communication (verbal and written) skills

B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience

Preferred Qualifications

Understanding of the ML lifecycle and state of the art ML Infrastructure technologies

Experience with GPU and other type of HPC infrastructure

Experience with training framework like PyTorch, Tensorflow, JAX

Deep understanding of Ray and KubeRay

Experience with ML Training / Inference profiling and optimization

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 $181,100 and $318,400, 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 () .

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 () .

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 () .

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.