7 jobs for "ML Model Integration Platform Eng"

ML Model Integration Platform Eng

At Apple - Seattle

Posted on Oct 16

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At Apple - Seattle

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SoC QoS/Fabric Performance Engineer, Platform Architecture

At Apple - Cupertino

Posted on Oct 16

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Senior Machine Learning iOS Platform Engineer - Responsible AI and Safety

At Apple - San Francisco Bay Area

Posted on Oct 15

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SoC QoS/Fabric Performance Engineer, Platform Architecture

At Apple - Austin

Posted on Oct 14

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SoC QoS/Fabric Performance Engineer, Platform Architecture

At Apple - Austin

Posted on Oct 14

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Apple

ML Model Integration Platform Eng

Seattle, WA$175,000 – $308,500Posted 22 days ago

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Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple's services. As part of this team, you will be responsible for building and integrating technologies that enhance people's lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We're looking for a senior engineer who can help integrate Large Language Models into our software ecosystem.

Description

This role is for a Platform Engineer specializing in Apple Intelligence and Private Cloud Compute. Your responsibilities will include architecting, designing, and delivering the systems and platform components that integrate Large Language Models (LLMs) and other AI models into Apple's products. This role establishes the foundation that enables teams to safely and effectively deploy ML-powered features. You will ensure the systems surrounding the models are robust, scalable, and easy for others to build on, becoming a key partner in the organization's delivery of AI-driven experiences. The ideal candidate is a systems thinker who can navigate fast moving requirements while maintaining a long-term vision for resilient and scalable solution.","responsibilities":"Develop and maintain runtime services, APIs, tooling, and automation for model consumption, deployment, versioning, evaluation, and monitoring.

Develop internal tools (CLIs, micro-services, automation pipelines) to enhance developer experience.

Drive architectural decisions for distributed systems involved in model serving, prioritizing reliability, throughput, observability, and cost efficiency.

Collaborate cross-functionally with product, infrastructure, security, and engineering teams to identify limitations, create solutions, and align on technical direction.

Provide technical mentorship, elevate engineering standards, and lead initiatives that improve the platform as it evolves.

Design and deliver platform components that integrate ML Models into our application stack.

Act as a systems thinker who can map how changes propagate across the platform, guiding teams toward resilient and future-proof approaches.

Navigate rapidly changing requirements and adapt plans swiftly without compromising long-term objectives.

Preferred Qualifications

Understanding and practical experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).

Solid background in one or more major cloud providers (AWS, GCP, Azure), including familiarity with compute, storage, networking, and security services relevant to ML workloads.

Minimum Qualifications

5+ years of software engineering experience in building and operating production systems.

Strong background in distributed systems and an ability to reason about scale, concurrency, and failure modes.

Proven experience designing and implementing internal tools, automation, and service-level components.

Ability to collaborate closely across teams and influence decisions through clarity, empathy, and technical depth.

A holistic mindset-seeing beyond individual components to understand and communicate system-level trade-offs.

Comfortable working in dynamic, fast-changing environments where you help create structure, not wait for it.

Proficient in scripting and programming languages such as C/C++, Python, SQL, Shell

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or related field

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 $175,000 and $308,500, 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.

About Apple

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Size: 10,000+ employees
Industry: Technology: Manufacturing

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