Drimva

Cohere

Senior Member of Technical Staff, Multimodal AI

$250K–$535K

San Francisco +4 · Remote · Staff · Full-time · Posted Dec 3, 2024

Location
San Francisco
New York
Paris
Toronto
Montreal

About the job

Develop and research multimodal AI systems, including model optimization, evaluation, and integration of text, speech, and vision.

What you'll do

  • Design and develop multimodal AI systems integrating text, speech, and vision.
  • Research and run experiments on multimodal representation learning, transfer learning, and related areas.
  • Collaborate with teams to advance multimodal AI systems and research.

What they ask for

  • Exceptional software engineering skills and a track record of building robust, scalable systems.
  • Strong command of Python and familiarity with JAX, PyTorch, and TensorFlow.
  • Knowledge of distributed training strategies, especially for large-scale multimodal models.
  • Familiarity with autoregressive models and their multimodal applications, such as image or video captioning and speech-to-text generation.

Nice to have

  • Publications in top-tier venues demonstrating multimodal AI research expertise.
  • Experience writing efficient GPU kernels using CUDA and optimizing performance for multimodal tasks.

Pay

CA$250K – CA$535K (base salary)

Tools

Python, JAX, PyTorch, TensorFlow, CUDA

AI focus

Research, develop, tune, optimize, and evaluate multimodal AI models and systems, including vision, speech, and text applications.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)