Apple has expanded India-based AI hiring this week, with Bengaluru again the centre. As of September 8, a new Applied Machine Learning Engineer role in Apple Intelligence appeared dated September 7. The cadence underscores continuing recruitment across Apple Intelligence and Search and AI in India’s tech capital.
For students and early professionals eyeing high-impact work, these listings clarify priorities. Apple’s Search and AI descriptions emphasise large language models, retrieval, ranking, and fine-tuning experience. Candidates who ship measurable model improvements and production systems will stand out faster than generic profiles or tool-only familiarity.

Live Bengaluru roles include Applied Machine Learning Engineer, Apple Intelligence, posted September 7. Also open are Machine Learning Engineer, Apple Intelligence roles posted on May 21 and February 10, plus an AI or Machine Learning Engineer position supporting data platforms. All list Bengaluru as location and remain active today.
The Senior Machine Learning Engineer or Senior Applied Scientist, Search and AI role, posted September 2 in Bengaluru, seeks experts in query understanding, retrieval, and ranking. It calls for large language models, fine-tuning, and reinforcement learning to power search and question answering at scale. Map projects directly to these outcomes.
IS&T highlights generative AI adoption through its AI and Data Platforms charter. Fresh Bengaluru roles include Software Engineer, Java, Spring Boot and Microservices, dated September 2, and Database Engineer, PostgreSQL Site Reliability Engineering, dated September 1. Emphasise resilient services, observability, and scalable pipelines that support business-critical workloads.
On Apple Careers, set Location to India or Bengaluru, then choose Software and Services: Machine Learning and AI. Optionally add Deep Learning, Generative AI and Foundation Models, and sort by Newest. Save the search and enable alerts to catch day-by-day changes within 48 hours.
Highlight shipped LLM or retrieval projects with precise metrics and latency budgets. Show distributed systems experience, data contracts, and evaluation pipelines. Link code or papers. Keep a two-page resume, impact-first bullets, and tailored keywords. Prepare STAR stories on failures and trade-offs. Apply early, track requisitions, and seek referrals from alumni.