ML Engineer - Generative AI, Siri Core Modeling

Role Number : 200605022-3401

Summary

The Siri team is looking for passionate Machine Learning Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple’s customers. Siri is being elevated by the huge opportunities that AI brings.

The team is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems.

Description

As a machine learning engineer on the team, you will play a key role in our development. You will have responsibilities ranging from model design, implementation, training, model iteration, researching and experimenting with new ideas and evaluation. You will apply state-of-the-art generative AI and machine learning methods to continually advance Siri’s capabilities. At Apple you will have the opportunity to collaborate with many dynamic, cross-functional teams across research, product and software. The ideal candidate will have a passion for applied research, strong modeling skills, good software engineer skills and a desire to get things done. The team innovates on cutting edge generative AI and machine learning technology to deliver outstanding products to customers. If that appeals to you, we can’t wait to hear from you.

Minimum Qualifications

1 year of hands-on industry experience developing deep learning systems : training (and finetuning) models, designing model architectures, researching / experimenting with new ideas, defining and creating metrics, building datasets and performing error triages.

Deep understanding of Generative AI techniques / literature and proven track record of training (or deploying) LLMs / MLLMs to solve complex problems

Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or Tensorflow)

Excellent communication : strong interpersonal, verbal and written skills

Bachelors or Masters in Computer Science, Machine Learning, Engineering or equivalent professional experience

Preferred Qualifications

PhD in Computer Science, Machine Learning, Engineering or equivalent professional experience

Demonstrated experience with building AI agents, LLMs for tool use, and Multimodal-LLMs.

Experience using one or more of the following : Reinforcement learning, Distillation, RLHF fine-tuning, RAG / VectorDB, LLM uncertainty quantification.

Experience developing, shipping and improving machine learning models in a production environment or a solid publication record in top-tier conferences like NeurIPS, ICML, ICLR, ICRA etc.

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