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About the role
Search Engineer - AI/ML
Bengaluru, Karnataka, IndiaSoftware and Services
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
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.
At Apple, code and functional quality is always at the forefront and one of the key measures of Success.
As part of the Applied Machine Learning team, you will be responsible for conceptualising, designing, implementing and running cutting edge solutions, leveraging best suited ML, AI and NLP techniques and contributing to building reusable platforms. Our group has a broad impact, so you can expect to be cross functional and see new wondrous and challenging use cases where modern day technologies can help solve real world problems.
We are looking for someone who has a proven track record in crafting and developing high quality enterprise software solutions. This position requires a hands on person, who is passionate about understanding the details of a problem, can think about different solutions and can advise a team by example when the time to implement comes.
We're looking for a self-starting, upbeat individual with excellent written and communication skills, hardworking person who is a great teammate, but not afraid to question assumptions and take initiative. If you feel this is you, we'd love to hear from you.
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Bachelor’s in Computer Science or equivalent experience
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3+ years of experience in building and managing big-data platforms and programming experience in Java
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Working experience with search and information retrieval (Lucene, Solr, Elasticsearch, Milvus, Vespa)
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Experience scaling distributed ML and AI systems to handle millions of concurrent requests is desirable
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Experience with ML applications in cross domain contexts is a plus
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Experience with public cloud (AWS/GCP)
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Good understanding of AI/ML stack - GPUs, MLFlow, LLM models is a plus
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Understanding of data modeling, data warehousing, and ETL concepts is a plus
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Have created frameworks to deploy platforms in AWS/Azure/GCP
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Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams to deliver complex projects
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Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed
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
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