Machine Learning Software Engineer

Apple; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Apple is looking for a motivated Software Engineer to join its Applied Machine Learning team in Bengaluru, India. The role involves developing high-performance algorithms and systems for various platforms while ensuring robust and scalable solutions. Candidates should possess 8+ years of experience in software engineering with strong skills in Java and a solid understanding of distributed systems.

The successful applicant will work on innovative ML/KG/Inference platforms, ensuring performance and availability, and will be part of a dynamic team that drives business-critical needs across Apple's enterprise.

Qualifications

• 8+ years of work experience in software development.
• Hands-on experience with Information Retrieval technologies.
• Proven skills in designing scalable, highly available distributed systems.

Responsibilities

• Develop and maintain high-performance, scalable enterprise platforms.
• Ensure optimal performance and minimal latency for high-throughput applications.
• Collaborate with technical teams to deliver efficient solutions.

Skills

Java programming

Information Retrieval

Generative AI

Distributed Systems

Concurrency

Problem Solving

Education

Bachelor’s Degree in Computer Science, Information Technology or equivalent

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 8+ 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 the 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 & either Information Retrieval or Generative AI.
• Excellent analytical & problem solving skills.
• 8+ years of work experience.
• Proven skills in designing scalable, highly available distributed systems which can handle high data volumes.
• 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.

Preferred Qualifications

• Exposure to Data processing and Model Training or Fine‑Tuning methodologies.
• Exposure to Performance tuning JVMs.
• Exposure to Big Data processing systems.
• Meaningful Contributions to Open Source Software.