Machine Learning Engineer / Applied Scientist, Search & AI

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 6 months ago
3-8 years
Bengaluru, Karnataka, India
Work from Office

Posted: 6 months ago
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Applicants: 149+
Job Description
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Job 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. 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.
  • 3 - 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

Looking to get Placed? Try our Placement Guarantee Plan

  • 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

Skills

CPythonReact

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

17 Nov 25, 12:33 PM IST

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Machine Learning Engineer / Applied Scientist, Search & AI

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