Machine Learning Engineer - Speech & Multimodal Language Modeling

Apple is where individual imaginations gather together, committing to the values that lead to

great work. Every new product we build, service we create, or experience we deliver is the

result of us making each other's ideas stronger. The diversity of our people and their thinking

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.

Description

The Special Projects team at Apple is developing novel user-facing features that leverage the

multimodal capabilities of state-of-the-art foundation language models. We are looking for a

highly skilled Machine Learning Engineer to build and evaluate these experiences, with a

specific focus on Multimodal and Speech Language Models. A successful candidate is

experienced in evaluating complex foundation model-driven systems end-to-end, translating

subjective product requirements into objective criteria, has strong statistical analysis skills, and

has worked with Speech Language Models.

Minimum Qualifications

Master's degree in Computer Science or Machine Learning

2+ years of hands-on experience building and evaluating generative AI models

Proficiency in Python and ML frameworks (Pytorch or Tensorflow)

Preferred Qualifications

PhD in Computer Science, Machine Learning, Statistics, or other STEM field

5+ years of hands-on experience with SpeechLMs or LLMs

Experience with large-scale audio data processing on distributed systems

Experience with prompt evaluation and optimization for generative AI models

Proficiency in training, fine-tuning, and evaluation of foundation models and frameworks

A track record of publications or technical presentations in Machine Learning journals or

conferences

Excellent communication skills and cross-functional collaboration