Machine Learning Application Engineer, Employee Experience & Productivity

Join Apple's IS&T Corporate Systems team as a Machine Learning Application Engineer focused on Employee Experience & Productivity. In this role, you'll be at the forefront of building next-generation intelligent systems for Apple's corporate applications. The position offers a unique opportunity to work in a dynamic environment where new ideas quickly transform into impactful products and services.

As part of the team, you'll be responsible for developing and implementing AI/ML solutions using cutting-edge technologies including LLMs, RAG methodologies, and various ML frameworks. You'll work with complex systems and large datasets, while collaborating with cross-functional teams to deliver high-quality, stable solutions that enhance employee productivity.

The ideal candidate brings strong expertise in Java, Python, and modern ML frameworks, along with experience in data pipeline development and streaming processing using tools like Apache Kafka. You'll need to demonstrate proficiency in prompt engineering, vector embeddings, and working with various ML model architectures including GPT and BERT.

This role offers the chance to make a significant impact at Apple, working on solutions that enable internal businesses to perform at their best while providing rich, highly usable experiences to customers and partners. The environment promotes innovation, engineering excellence, and creative problem-solving in collaboration with smart, fun colleagues using state-of-the-art technologies.

If you're passionate about machine learning, have a track record of delivering AI/ML projects from conception to deployment, and want to contribute to worldwide-impact solutions at Apple, this role presents an exceptional opportunity to advance your career while working on meaningful challenges.