Machine Learning Software Engineer

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Machine Learning Software Engineer

Hyderabad, Telangana, IndiaSoftware and Services

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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.

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

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.

• We are seeking a highly motivated and skilled Software Engineer with 3+ 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.

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

• Programming expertise in Java / Python & either 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

• 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.

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