AIML - Machine Learning Engineer, Technical Lead, Evaluation
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
