Machine Learning Engineer - Speech & Multimodal Language Modeling

Summary

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.

Responsibilities

• Design and implement processes for evaluating and improving multi-modal generative
• models to meet end-to-end product requirements.
• Work with Data Engineers to process large scale speech audio data for foundation model
• training
• Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to
• improve performance for specific use cases
• Work closely with other ML Researchers to define evaluation criteria and methodology to
• systematically evaluate foundation models
• Experimental design for testing models/systems under test
• Conduct robust statistical analysis to identify model deficiencies and failure states

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