Senior Machine Learning Engineer / Senior Applied Scientist, Search & AI

Apple; Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Apple is seeking a Machine Learning Expert to build world-class Search and Q&A experiences across Apple devices and services. You will work with the Information Intelligence team to push the boundaries of document retrieval, ranking, and natural language understanding using large language models and cutting-edge ML techniques.

You will collaborate with top engineers on end-to-end ML systems, contribute to scalable tooling, and apply research insights to real-world products like Siri, Safari, and

Qualifications

• 8+ years of shipping Search and Q&A ML systems.
• Strong programming skills in C++, Python, Scala, and Go.
• Experience delivering tooling to evaluate components and end-to-end quality.

Responsibilities

• Collaborate with Search/AI engineers on large-scale ML to improve query understanding, retrieval and ranking, including embeddings, online learning and NLP.

Skills

Analytical skills

Communication

Teamwork

Curiosity to learn

Education

MS or PhD in AI/ML/IR/CS/Statistics

Tools

C++

Python

Scala

Go

Job description

Summary

Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you’ll do more than join something — you’ll add something.

Description

The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Machine Learning Expert, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting‑edge search technologies and large language models.

Our team is responsible for delivering next‑generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills.

Responsibilities

• You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine‑tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users' information‑seeking needs.

Minimum Qualifications

• 8+ years experience in shipping Search and Q&A technologies and ML systems
• Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go
• Experience delivering tooling and frameworks to evaluate individual components and end‑to‑end quality
• Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy
• Strong written and verbal communication with the ability to articulate complex topics
• Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
• Passion for building phenomenal products and curiosity to learn

Preferred Qualifications

• Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data‑informed decision‑making
• Hands‑on experience in Retrieval Augmented Generation (RAG), including developing, evaluating and enhancing for both retrievers and generative LLMs
• Experience presenting plans, progress, and results or demos regularly and concisely
• MS or Ph.D in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Role Number: 200681501-0321