Senior Multimodal ML Researcher & AI Systems Architect

Socket.dev

Cupertino (CA)

On-site

USD 250,000 - 350,000

Full time

14 days+
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Job summary

SIML's Content Understanding team at Apple Intelligence is seeking a senior technical leader to architect and deploy production-scale multimodal ML. You will oversee ML modeling, prototyping, validation and private learning, working across teams to translate research into user-focused experiences.

Ideal candidates have strong ML fundamentals, experience with large language models, and a track record of research contributions in top venues or open source projects.

Qualifications

  • PhD or MSc in Computer Science/Electrical Engineering, or related field (mathematics, physics, CE).
  • Hands-on experience training LLMs/adapting pre-trained LLMs for tasks & alignment.
  • Modeling experience at the intersection of NLP and Vision.
  • Proficiency with ML toolkit of choice, e.g., PyTorch.
  • Strong Python programming skills.
  • Proven research contributions via publications or open source work.

Responsibilities

  • Lead ML modeling, prototyping, validation and private learning across multimodal initiatives.
  • Coordinate with cross-functional teams to bring research into production scale deployments.
  • Partner with systems engineers to prototype bleeding-edge algorithmic innovations.
  • Interface with large-scale modeling and data infrastructure to enable scalable solutions.

Skills

LLM training
NLP & Vision
Python
Research publications
Multimodal ML

Education

PhD or MSc in CS/EE or related field

Tools

PyTorch

Job description

SIML's Content Understanding team at Apple Intelligence is seeking a senior technical leader to architect and deploy production-scale multimodal ML. You will oversee ML modeling, prototyping, validation and private learning, working across teams to translate research into user-focused experiences.

Ideal candidates have strong ML fundamentals, experience with large language models, and a track record of research contributions in top venues or open source projects.

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