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

Apple Inc.; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Apple Inc. in Bengaluru is seeking a Senior Machine Learning Engineer / Senior Applied Scientist to advance Search and QA experiences across Apple products.

You will work with the Information Intelligence team on world‑class ML systems, embeddings, and large language models to improve query understanding, retrieval, and ranking. The role demands 8+ years shipping ML-powered search tech, strong C++, Python, Scala, and Go coding skills, and a collaborative mindset to deliver scalable solutions

Qualifications

• 8+ years shipping Search and Q&A ML systems.
• Strong programming in C++, Python, Scala, and Go.
• Experience delivering tooling to evaluate components and end-to-end quality.
• Strong analytical and communication skills.
• Collaborative and team oriented with passion for great products.

Responsibilities

• Collaborate on large-scale ML to improve query understanding, retrieval and ranking.
• Develop models using embeddings and deep learning to improve match quality.
• Implement online learning to adapt to changes and NLP to interpret queries.
• Handle petabytes of data from diverse sources to provide accurate results.

Skills

C++

Python

Scala

Go

Analytical skills

Communication

Education

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

Tools

RAG tooling

LLM development

Embeddings

Job description

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

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.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.

Description

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

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