Job description

The Customer Support AI team is responsible for building multi-turn, conversational, agentic applications and frameworks to support Apple customers across numerous lines of business. You’ll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating research to improve, latency, cost and customer experience. This is an incredible opportunity to contribute innovation & research to a well established generative AI platform within Apple. There is a huge amount of opportunity and growth within this space! 4+ years of hands-on experience in ML, backend engineering, data engineering 1 year plus of hands-on experience in training, fine-tuning, or evaluating LLMs Proficiency in machine learning libraries (transformers, datasets). Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience. Foundational understanding of RAG architectures and vector-based retrieval systems Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems. Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems. Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required.

Requirements

Must-haves

4+ years of hands-on experience in ML, backend engineering, data engineering
1 year plus of hands-on experience in training, fine-tuning, or evaluating LLMs
Proficiency in machine learning libraries (transformers, datasets).
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.
Foundational understanding of RAG architectures and vector-based retrieval systems
Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems.
Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required.

Nice-to-haves

Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningawsgcp

Platform: apple
Effort: medium