Apple · 19 hours ago
Machine Learning Platform Engineer, AI Evaluation Platform (All levels)
Seattle, WA
Full-time
Onsite
Mid, Senior Level, Lead/Staff
$140K/yr - $210K/yr
2+ years expApple Services Engineering is looking for machine learning platform engineers to develop AI evaluation systems. The role involves architecting and building high-availability services and internal tools for self-service evaluation, collaborating with researchers to operationalize innovations and ensuring scalable infrastructure.
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Responsibilities
Join Apple Services Engineering to build the next generation of AI evaluation systems
You will join the engineering team responsible for democratizing AI evaluation across the organization
Your focus will be on developing the developer experience—architecting and implementing the APIs, SDKs, and platform services that turn complex evaluation metrics into simple, self-service calls
You will work hand-in-hand with researchers to operationalize sophisticated measurement techniques, ensuring they scale reliably within our high-availability infrastructure
In this role, you will drive the engineering standards for a new organization, upholding the code quality, automation, and testing rigor required to support the rapid evolution of Generative AI and Agentic systems
Qualification
Required
2+ years of hands-on software engineering experience (or Master's degree with relevant project experience). Note: We are hiring across multiple seniority levels; expectations will scale with experience
Strong proficiency in the Python ecosystem (e.g., FastAPI, Pydantic, Pandas). You are capable of writing production-grade code and contributing to architectural discussions on day one
Customer Obsession & Product Thinking: Experience acting as a technical partner to internal customers. You can translate vague requirements from other teams into concrete engineering specifications
Demonstrated experience partnering with Data Scientists or Researchers: You have the ability to navigate the ambiguity of research workflows and operationalize scientific code
Functional literacy in AI/ML concepts: You understand the fundamental lifecycle of machine learning (datasets, training vs. inference, evaluation metrics) and can discuss the engineering challenges involved in serving models
Strong expertise in API Design & Internal Tools: You have built APIs that other developers rely on, with a focus on versioning, backward compatibility, and developer experience
Operational excellence background: You have practical experience using CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring (Datadog/Prometheus)
Preferred
Experience building MLOps & Platform Infrastructure: You have architected the foundational infrastructure for AI, such as model registries, inference services, or feature stores (using tools like Kubernetes, Ray, or Kubeflow)
Deep familiarity with AI Evaluation Frameworks: You have used or contributed to modern evaluation tools like DeepEval, Ragas, TruLens, or LangSmith. You understand how to implement and scale model-based evaluation workflows
Deep understanding of Generative AI & Agents: You understand the engineering challenges of relying on LLMs and Agents as software components—specifically managing token economics, handling rate limits, and evaluating non-deterministic, multi-step reasoning capabilities
Builder Experience: You have thrived in startup-like environments, navigating high ambiguity to deliver complex technical roadmaps from scratch
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
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2025-12-01
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2025-09-25
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