About the role

What will you do at Apple?

The Search and Knowledge Quality team is redefining how hundreds of millions of

users interact with their devices to access information. We are an Applied

Machine Learning team pushing the boundaries of artificial intelligence—from

query understanding and information retrieval to response ranking and contextual

answer generation. Our team drives innovation by conducting research, building

end-to-end solutions, and deploying them at scale to deliver meaningful customer

impact across Apple products.

In this role, you will

leverage and advance
state-of-the-art LLM and ML techniques to better understand user queries and
intent, improve document ranking, and generate high-quality answers. You will
have end-to-end ownership of features within the Siri Search system, from
ideation through production deployment. You will collaborate with
industry-leading experts and cross-functional teams across multiple geographies,
tackling complex challenges at scale.
DESCRIPTION

In this role, you will

leverage and advance state-of-the-art LLM and ML
techniques to better understand user queries and intent, improve document
ranking, and generate high-quality answers. You will have end-to-end ownership
of features within the Siri Search system, from ideation through production
deployment. You will collaborate with industry-leading experts and
cross-functional teams across multiple geographies, tackling complex challenges
at scale.
MINIMUM QUALIFICATIONS
BSc or Masters degree in Machine Learning, Data Science, Computer Science,
Information Security, Mathematics, Statistics, or related field. 3+ years of
industry related experience, working in collaborate environments Experience with
programming skills in Python,C/C++, GoLand Experience with ML libraries such as
TensorFlow, PyTorch, HuggingFace, AXLearn and Scikit-learn. Familiarity with
integrating ML solutions into production systems and existing workflows at
scale; experience with CI/CD workflows and ML pipelines . Excellent written and
verbal communication skills, with the ability to present technical concepts
clearly to varied audiences. Strong problem-solving skills and ability to work
independently as well as in a team environment.
PREFERRED QUALIFICATIONS
Ph.D. in a related field. Experience with state-of-the-art ML methodologies,
including LLM fine-tuning, neural network optimization , RL Strong communication
and accountability skills; a hard-working, strong work ethic, and collaboration
abilities. Experimental rigor when training/evaluating LLMs for the purpose of
benchmarking LLM optimization algorithms.

Which skills does this role require?

Machine LearningLarge Language ModelsPythonC/C++GoTensorFlowPyTorchHuggingFaceAXLearnScikit-learnCI/CDML PipelinesInformation RetrievalReinforcement LearningDocument RankingSiri SearchQuery UnderstandingResponse RankingContextual Answer GenerationData ScienceComputer ScienceApplied Machine Learning

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.