AIML - Machine Learning Engineer, Retrieval and Ranking Quality Siri & Info at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, NLP, Large Language Models, Software Engineering, Python, Go, C/C++, Information Retrieval, Ranking Systems, Recommendation Systems, ML Frameworks, Deep Learning, Data Mining, Data-Driven Decision-Making, Personalization, User Behavior Modeling

Industry

Computers and Electronics Manufacturing

Description

We are looking for a Senior Machine Learning engineering with a passion for using machine learning to create intelligent and personalized search applications. Our team researches and implements novel retrieval and ranking techniques, machine learning algorithms and large language models that power amazing Search experiences across Apple products. We are looking for an ambitious engineer to join our ML group. This role will have the opportunity to initiate and deliver exciting projects to further shape the state of retrieval and ranking quality at Apple. As a Senior Machine Learning engineer, you will use innovative data mining, machine learning and data-driven analytical skills to solve challenging technical problems and ship novel products that will delight millions of people! DESCRIPTION This role will have the chance to create and evaluate new retrieval and ranking algorithms, models and methods that will impact Apple and the broad AIML community. Role responsibilities include: • Lead the design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval and ranking systems. • Use advanced and state-of-the-art NLP, deep learning and LLM techniques to understand and match complex queries with relevant content. • Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics. • Collaborate with cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction. • Work continuously on improving the metrics and performance of models the team has launched in production by leverage innovative ML techniques. MINIMUM QUALIFICATIONS 3+ years Experience in Machine Learning, NLP, Large Language Models and applying these techniques at scale Strong software engineering skills in mainstream programming languages, such as: Python, Go, C/C++ Strong communication skills Bachelors in Computer Science and industry work experience PREFERRED QUALIFICATIONS Knowledge and expertise in Information Retrieval, Ranking or Recommendation Systems Experience in building production quality systems or applications in search, recommendation systems, or information retrieval Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.) Ability to quickly prototype ideas / solutions, and perform critical analysis Background in personalization, user behavior modeling, and data-driven decision-making Advance degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience

Responsibilities

The role involves creating and evaluating new retrieval and ranking algorithms that will impact Apple and the AIML community. Responsibilities include leading the design and implementation of algorithms to enhance personalized retrieval and ranking systems.