AIML - Machine Learning Engineer, Technical Lead, Evaluation
Apple
Software Engineering, IT, Data Science
Cupertino, CA, USA
USD 212k-386,300 / year + Equity
Posted on Feb 25, 2026
Do you want to play a part in building a groundbreaking technology for large scale systems, generative AI experiences and shipping next generation of Apple products? You will improve and enrich lives of Apple users across the globe. Join the Evaluation team at Apple AIML.
You will play a critical role in scaling up global evaluation of Apple AIML products, with the primary focus on next generation Siri and Apple Intelligence features. You will drive and scale our evaluation work to enable high-velocity development and shipping of Generative AI features globally, in every country and language where Apple AIML features are available. You will drive LLM-based evaluation as a product, delivering simulation-based evaluation of personalized user experiences, reflective of cultural and language diversity of our customers. The focus of this technical lead role is strategy and execution of high quality evaluation datasets grounded in “personas”, acquired and synthetically generated, by language and region. This role requires a combination of engineering experience working with GenAI and ML based products, an ability to drive scale, and a relentless drive for improving signal-to-noise ratio. This role’s success will be driven by building deep cross-functional partnerships and by embracing and leading breakthrough technologies.
- Develop simulation-based evaluation methods and synthetic interaction patterns to scale across languages and regions.
- Ensure evaluation data sets are representative of real world user behavior, and reflective of users’ personal context.
- Scale evaluation methodologies to support all required locales; contribute to cross-locales analytics and insights development.
- Diagnose system behavior in end-to-end intelligent systems, isolating sources of failure and driving actionable insights.
- Collaborate with cross-functional partners to integrate evaluation findings into product roadmaps and engineering decisions.
- Define and communicate metrics, reports, and analyses that influence priorities across product, engineering, and leadership teams.
- Extensive experience with data-driven evaluation of complex systems (ML/AI/agents) and the ability to translate findings into product improvements.
- Strong analytical and statistical foundations with the ability to design metrics and interpret noisy or ambiguous signals.
- Demonstrated ability to collaborate with cross-functional partners (engineering, product, research) to drive impact at scale.
- Excellent communication skills, including articulating technical insights to both technical and non-technical audiences.
- BS/MS in Computer Science, Machine Learning, Statistics, Applied Math, or a related quantitative field.
- Experience with evaluation of large language models, tool-enabled agents, or multi-component AI systems.
- Background in simulation-based evaluation, user behavior modeling, or experimental design.
- Experience designing evaluation that scales across languages, cultures, or diverse user populations.
- Familiarity with instrumentation, telemetry, and large-scale measurement systems.
- Prior involvement in shipping customer-facing products where measurement informed strategic decisions.
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.