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Sr. / Staff ML Platform Engineer

Apple Inc.

Seattle (WA)

On-site

USD 166,000 - 297,000

Full time

Yesterday
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Job summary

A leading company in technology seeks an individual contributor to work at the intersection of infrastructure and ML research. This role involves collaborating with engineers and researchers to build intelligent systems that enhance the ML development lifecycle. The ideal candidate will bring strong technical expertise in distributed systems and deep experience in AI and ML platforms, fostering a culture of innovation while driving platform adoption.

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
Discounted products and free services
Tuition reimbursement for formal education
Discretionary bonuses
Relocation assistance

Qualifications

  • 8+ years of software development experience in Data, ML, and AI platforms.
  • Experience in driving alignment across cross-functional teams.
  • Experience designing and optimizing large-scale compute platforms.

Responsibilities

  • Define and drive the technical vision and roadmap for ML and AI services.
  • Collaborate with stakeholders to deliver integrations and ensure compliance.
  • Optimize platforms for large-scale ML workloads across distributed systems.

Skills

Communication
Leadership
Problem-solving
Distributed systems
Cloud-native infrastructure
AI/ML workload orchestration

Education

BS, MS, or Ph.D. degree in Computer Science or equivalent experience

Tools

Kubernetes
TensorFlow
PyTorch
Ray
Spark

Job description

Seattle, Washington, United States Software and Services

Description

As an individual contributor you will work at the intersection of cutting-edge infrastructure and ML research, helping teams across the company accelerate how machine learning is developed, deployed, and applied in practice. You’ll work alongside a world-class team of engineers and researchers to build robust, flexible, and intelligent systems that make ML development faster and more reliable. As a member of the Apple Data Platform team your responsibilities include:* Define and drive the technical vision, roadmap, and strategy of the developer engineering experience of ML, AI and data services* Collaborate closely with teams across the stack to enable high-quality, end-to-end ML experiences* Collaborate with key stakeholders and partners to deliver integrations, compliance, cost efficiency, and an optimal experience* Partner with internal customers and product teams to drive the platform roadmap and accelerate adoption of the platform* Optimize platform systems and workflows for large-scale ML and AI workloads across distributed systems* Cultivate a culture of collaboration, innovation, and continuous learning within the team* Identify opportunities and drive a strategic approach to contributing to open source

Minimum Qualifications
  • 8+ years of software development experience in Data, ML and AI platforms and infrastructure
  • Excellent verbal and written communication skills, able to collaborate with other teams across Apple.
  • Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate platform adoption.
  • Expertise in distributed systems and cloud-native infrastructure, including Kubernetes, Data and ML orchestration systems
  • Experience designing and optimizing large-scale compute platforms with advanced scheduling, resource management, and cost efficiency considerations.
  • Experience in influencing and driving key product innovations and opportunities across a diverse set of global partners
  • Superb problem-solving skills, and the ability to thrive in a fast-paced and dynamic environment
  • BS, MS, or Ph.D. degree in Computer Science or equivalent experience
Preferred Qualifications
  • Expertise in AI/ML workload orchestration and scheduling, including optimizing resource allocation for large-scale training, inference, and data processing pipelines.
  • Experience building and managing AI infrastructure platforms, enabling frameworks like TensorFlow, PyTorch, Ray, and Spark with distributed compute environments
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. Learn more about your EEO rights as an applicant .

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