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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlai

Platform: apple
Effort: medium