Apple · 4 weeks ago
Machine Learning Platform Engineer, AI Evaluation Platform (All levels)
Seattle, Washington, United States
Full-time
Onsite
Mid, Senior Level, Lead/Staff
$140K/yr - $210K/yr
2+ years expApple is seeking machine learning platform engineers to build the next generation of AI evaluation systems. The role involves architecting and building high-availability services and internal tools that enable self-service evaluation at scale, while partnering with researchers to operationalize their innovations.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
System Design & Implementation: Design, code, and ship high-quality Python services. For senior candidates: Lead the architecture for the core evaluation engine and distributed services. For mid-level candidates: Own the end-to-end implementation of specific features and API endpoints
Technical Leadership & Collaboration: Mentor junior engineers, conduct code reviews, and drive technical decision-making. Foster a culture of technical excellence and rapid delivery through example and collaboration
Operationalizing Science: Partner closely with Applied Scientists to translate novel metrics, judge prompts, and scoring algorithms into scalable, production-grade services. Create frameworks to evaluate not just simple responses, but also multi-turn agent trajectories and tool usage
System Integration: Serve as a technical bridge between the research organization and the broader engineering ecosystem, ensuring our tools integrate seamlessly with existing ML infrastructure and developer workflows
Engineering Rigor: Champion the software development lifecycle (SDLC) for the team, writing comprehensive automated testing (CI/CD), and instrumenting monitoring to ensure high availability and reliability
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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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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