Machine Learning Researcher Multi-Modal Reasoning

Apple • Cupertino, CA

2d

About The Position

Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working cores across disciplines with our partners in hardware engineering, design and product.

Requirements

• PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience.
• Hands on experience training LLMs/adapting pre-trained LLMs for downstream tasks & alignment.
• Modeling experience at the intersection of NLP and Vision.
• Proficiency in ML toolkit of choice, e.g., PyTorch.
• Strong programming skills in Python.
• Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm.

Nice To Haves

• Experience with building & deploying Multimodal-LLMs.
• Familiarity with distributed training and large-scale data infrastructure.

Responsibilities

• Architecting and deploying production scale multimodal ML.
• Lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning.
• Place research contributions with respect to state of the art.
• Train and adapt large language models.
• Partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences.
• Interface with large scale modeling & data infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior