Machine Learning Application Engineer, Employee Experience & Productivity
Description For 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. This role offers a unique opportunity to shape the future of intelligent systems at Apple, working with state-of-the-art technologies and LLMs. You'll be part of a dynamic team building solutions that have worldwide impact, from enabling internal businesses to providing rich experiences for customers and partners.
As a senior engineer, you'll leverage your expertise in AI/ML platforms, API development, and data engineering to create innovative solutions. The role requires proficiency in Java, Python, and modern ML frameworks, with a focus on generative models and RAG methodologies. You'll work with cutting-edge technologies including LLMs, vector embeddings, and streaming data processing frameworks like Kafka.
The ideal candidate combines technical excellence with strong problem-solving abilities and interpersonal skills. You'll collaborate with creative, smart professionals in a environment that values engineering excellence. This position offers the chance to work on complex problems at scale, implementing solutions that directly impact Apple's global operations.
The role demands expertise in both traditional software engineering and modern ML technologies, including experience with frameworks like TensorFlow and PyTorch. You'll be involved in performance optimization, rapid prototyping, and the development of real-time applications. This is an opportunity to join a company known for turning innovative ideas into impactful solutions quickly, while working with some of the most advanced technologies in the industry.
Responsibilities For Machine Learning Application Engineer, Employee Experience & Productivity
- Building the next generation of intelligent systems for Apple's corporate applications
- Take ideation to implementation in a multi-functional environment
- Find creative solutions to technical problems
- Work with complex systems and large data sets
- Collaborate in a team environment
- Improve product performance and focus on delighting users
Requirements For Machine Learning Application Engineer, Employee Experience & Productivity
- 4+ years of professional experience as a software engineer in AI or ML platforms
- 4+ years of professional experience API development for serving generative models using Java, Springboot framework
- Prior experience of working with machine learning & LLMs
- 4+ years of professional experience in developing data pipelines and working with streaming data processing frameworks
- Bachelor's degree in Computer Science or equivalent work experience
Benefits For Machine Learning Application Engineer, Employee Experience & Productivity
- Equal opportunity employer
- Affirmative action commitment
