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Software Engineer Manager: Agentic Evaluation Platform

Job in Cupertino, Santa Clara County, California, 95015, USA
Listing for: Apple
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    Software Project Mgr/ Lead, Software Architect, AI Engineer (Applied/Software), Software Engineer
Job Description & How to Apply Below
Role Number:
Team:
Machine Learning and AI, Software and Services

Location:

Cupertino Weekly

Hours:

40

Posted:
Summary Join the team redefining what a deeply personal and integrated assistant can be and lead the platform that defines how we measure it.

As part of the Siri Agentic Evaluation Engineering organization, you will help shape one of the world's most widely used AI assistants, powered by our next generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.As

the engineering leader of the evaluation platform and services, you'll own the systems that run and scales Siri’s evaluations, leveraging the best Apple platform capabilities and unlocking new ones to create novel evaluations. Your team applies large scale infrastructure, apple platforms and service, and AI agents to steer, validate, and judge evaluation scenarios se generate the signals that leadership relies on to make ship decisions.

When we say a capability is ready, it's your platform that backs the claim.

This is a rare opportunity to build scalable software and services for real world products at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description In this role you'll lead and grow a team of engineers building the backend services, compute orchestration, and evaluation harnesses that let us evaluate Siri reliably and 'll own the technical direction and the roadmap, and you'll be accountable for delivery.

The through-line of the work is interfaces. Your team owns the APIs that expose evaluation as a platform capability, the harness contracts that determine how devices and models are driven through a run, and the data workflows that carry results from execution through scoring to reporting. Those boundaries are the product: they decide how much compute the organization can actually use, how quickly a failure can be traced to its cause, and how many teams can build on evaluation without coming to you first.

Get them right and the platform scales past your team; get them wrong and everything routes through you.

You'll also have meaningful autonomy in how you get there. Both the evaluation platform and the underlying Siri architecture are evolving, so the specific frameworks, runtimes, and components will change over time. We're looking for a leader who operates well in that ambiguity, someone who can reshape team scope deliberately as the domain matures, decide what to invest in versus retire, and keep the team's momentum through the change.

Just as importantly, you'll build the team itself: recruiting, mentoring, and developing engineers including senior ICs, with a focus on engineering rigor, technical depth, and clear ownership.

Minimum Qualifications 5+ years of experience developing production software (e.g., Python, Java, Go, or Swift)3+ years of engineering management experience, including owning roadmap and delivery, mentoring, setting clear expectations, and providing consistent, honest feedback

Strong technical leadership and the ability to set architectural direction and inspire a team

Experience with test infrastructure, CI/CD, or evaluation/ML platforms

Proactive and self-motivated, with demonstrated creative and critical-thinking abilities

Excellent spoken and written communication skills, and the ability to collaborate across teamsM.S. or B.S. in Computer Science, Machine Learning, or a related field, or equivalent experience

Preferred Qualifications Experience building or leading teams that apply LLMs / AI agents to real engineering…
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