Machine Learning Software Engineer

Lex

Hyderabad

On-site

INR 3,500,000 - 7,000,000

Full time

14 days+
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Job summary

Apple is seeking a Software Engineer with 5+ years of experience to join the Applied Machine Learning team in Hyderabad. You will build and maintain high‑throughput search, KG, ML and inference workloads, ensuring low latency and robust availability in enterprise-scale platforms.

You will work with Java and Python, explore GenAI opportunities, and collaborate across engineering and product teams to deliver scalable solutions leveraging open-source search technologies.

Qualifications

  • Bachelor's degree in Computer Science, IT or equivalent.
  • Proficient in Java and Python, with knowledge of IR or GenAI.
  • 2+ years of professional software engineering experience.
  • Strong fundamentals in data structures and algorithms.
  • Experience with Solr or OpenSearch and relevance tuning.
  • Designing scalable, highly available distributed systems.

Responsibilities

  • Develop and maintain high-performance ML search and KG workloads.
  • Tune performance and latency for high-throughput systems.
  • Collaborate with cross-functional teams on GenAI-enabled solutions.

Skills

Java
Python
Data structures
Algorithms
Concurrency
OpenSearch/Solr
IR/GenAI knowledge

Education

Bachelor's degree in Computer Science/IT

Tools

Solr
OpenSearch

Job description

Summary

The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. The proven ML Platforms, Solutions, and Services provide a comprehensive suite of capabilities to achieve efficiency, agility, and innovation at Apple scale—serving business-critical needs across Apple’s enterprise.

We are seeking a highly motivated and skilled Software Engineer with 5+ years of experience to join our dynamic team. The ideal candidate will have a strong foundation in Java development, a solid understanding of distributed systems, hands‑on experience in Search, Information Retrieval and relevancy tuning, and a keen interest in Generative AI (GenAI). You will play a critical role in building, scaling, and maintaining next-generation systems and applications that leverage the power of Search & GenAI technologies, ensuring robust, scalable, and efficient solutions.

Description

Embark on a transformative journey as a Software Engineer within Apple's Applied Machine Learning Team. You will assume a pivotal role in building and supporting the high-performance, scalable enterprise platforms that underpin our Search, Knowledge Graph, ML and inferencing systems. You shall be entrusted with the stewardship of ensuring unparalleled availability, optimal performance, and minimal latency for our high-throughput applications, thereby directly influencing and elevating the customer experience.

Your responsibilities will encompass the development and optimal functioning of diverse workloads across ML/KG/Inference platforms, coupled with the exploration of, and building deep understanding of latest open source technologies and innovative solutions. A proven aptitude for outstanding interpersonal communication, a high degree of accountability and the capacity to collaborate seamlessly across multifaceted business and technical teams are paramount.

Minimum Qualifications
  • Bachelor’s Degree in Computer Science, Information Technology or equivalent.
  • Programming expertise in Java / Python & ifeither Information Retrieval or Generative AI
  • 2+ years of work experience
  • Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
  • Solid understanding of concurrency and multi‑threading, multiple design patterns and debugging and analytical methodologies
  • Hands‑on experience on Solr or OpenSearch or with relevance tuning of Search Results.
  • Proven skills in designing scalable, highly available distributed systems which can handle high data volumes
Preferred Qualifications
  • Exposure to Data processing and Model Training or FineTuning methodologies
  • Exposure to Performance tuning JVMs
  • Exposure to BigData processing systems
  • Meaningful Contributions to OpenSource Software
  • Excellent analytical & problem solving skills

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.

Learn about accessibility in Apple’s workplace

Role Number: 200649724-1052

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