Sr. Machine Learning Engineer - Answers, Knowledge & Information (AKI)

Siri helps hundreds of millions of people find the information they are looking

for. A critical part of that mission is helping them quickly find and discover

local businesses, places of interest, and addresses. Users rely on us for

relevant and easy access to local information like finding a favorite or

romantic restaurant, business hours, nearby coffee shop addresses, and

directions to prominent locations. The Geo domain team is redefining how

hundreds of millions of people use their devices to navigate and explore the

physical world around them. We are part of a wider effort to power search across

a variety of Apple products – including Siri, Spotlight, Safari, Messages, and

more. As part of our team, you will be using innovative machine learning

techniques and LLMs in order to understand queries, rank documents, and find

useful answers to users’ questions. We are looking for an experienced ML

engineer with hands-on experience in search and recommendation and deploying

powerful machine learning models at scale. You will join a team that combines

strong technical skills, product vision, and a love of all things local to bring

together the pieces needed to deliver an extraordinary Maps experience in Siri

and Spotlight.

DESCRIPTION

As a member of our fast-paced group, you’ll have the unique and rewarding

opportunity to shape upcoming products from Apple. Our team includes a diversity

of backgrounds from applied scientists with a focus in NLP to experienced

distributed systems. We are looking for candidates with both applied machine

learning experience and strong engineering skills. The role will have the

following responsibilities: - Own the entire ML development cycle from

opportunity analysis, exploration, and prototyping to data collection, feature

engineering, training, evaluation, and deployment in production. - Lead the

development of machine learning models to improve search quality across

retrieval, ranking, reranking, and query understanding. - Improve search quality

and experience by leveraging techniques such as learning-to-rank, embedding

models, contrastive learning, multi-task learning, and reinforcement learning

where appropriate. - Mentor junior engineers and provide technical leadership in

architecting ML systems and designing ML models. - Understand product

requirements, then translate them into modeling tasks and engineering tasks.

MINIMUM QUALIFICATIONS

You have 8+ years of experience in information retrieval, natural language

processing, machine learning, or deep learning. You have a deep understanding of

machine learning theory, including supervised learning, ranking models,

embeddings, representation learning, and evaluation metrics. You have proven

ability to apply advanced ML techniques to improve search relevance and

retrieval quality at scale. You are comfortable leading experimentation, offline

evaluation, and online A/B testing for iterative improvements in search quality.

You have excellent interpersonal skills, the ability to work independently as

well as as part of a team. You have a Master’s Degree in Computer Science or

equivalent experience in machine learning or a related field.

PREFERRED QUALIFICATIONS

Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics