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Apple is hiring a Machine Learning Engineer, Apple Store Online. In this full-time role, the selected candidate will help design and deploy scalable AI/ML models and systems to enhance Apple Store Online. The candidate will work on product search, recommendation systems, personalization, and generative AI, shaping the future of Apple’s online retail experience.
Location: Bengaluru, Karnataka, India
Job ID: 200620319-0321
Apply: Click Here
Collaborate with other MLEs to design and develop ML solutions that are built from scratch to be right and rigorous enough to be scaled and deployed in production.
Get deep into the investigation and bring new algorithms for search, recommendation, personalization, and generative AI in the e-commerce business up to the surface.
Assist and direct other machine learning engineers while constantly refreshing their knowledge on the latest ML trends.
Contribute to the development of the ML infrastructure, tooling, and processes that will be the ground for the organization to practice cutting-edge technology.
Improve not just Apple but the world’s machine-wide systems and infrastructure for ML applications deployment with high throughput and low latency.
At least seven years of experience in one of the following areas: high-throughput applications with extreme scalability or machine learning models.
Deep knowledge of at least one programming language like Python, Java, C++, or any other object-oriented language.
Experience in software engineering, knowledge of distributed systems, and constructing large-scale machine learning pipelines are considerations.
Outstanding oral and written communication skills together with creative thinking and problem-solving skills.
A Bachelor’s degree in Computer Science, Applied Mathematics, or Statistics, or similar professional training.
A Doctorate or a Master’s degree in a quantitative subject or equivalent professional experience is a must.
Proficiency in dealing with recommender systems, personalization, search, computational advertising, NLP, RAG-based Generative AI, and transformer architectures is a plus.
Experience in the area of large-scale data processing pipelines and big data technologies like Spark, SQL, Snowflake, and Hadoop is highly desirable.
Familiarity with and understanding of scalable distributed systems and production-grade ML solutions are significant advantages.
Apple is a global technology giant that has made a name for itself with its iconic products, innovative software, and cutting-edge AI systems. The primary focus areas for Apple are user privacy, sustainability, and transformative experiences. The company grants control to its millions of users across the globe. Being in the Apple ecosystem is not only about getting to experience super online retail but also about being able to influence the direction of AI-based commerce in the future.
