Senior Multimodal AI Systems Engineer (Remote-friendly)

Cohere; California (MO); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Weekly lunch stipend

Health and dental benefits

RRSP matching

Parental Leave top-up

Annual enrichment benefits

Education stipend

6 weeks paid vacation

Travel budget to other offices

Home office stipend

Job summary

Cohere is seeking engineers to design and develop cutting-edge multimodal AI systems across text, speech, and vision. You will push the boundaries of model capabilities and work with leading compute infrastructure to explore novel ideas.

Join a team that values rapid experimentation, practical solutions, and impactful AI for enterprise use cases, with a remote-friendly setup and strong global presence.

Qualifications

• Exceptional software engineering skills with scalable systems experience.
• Proficiency in Python and major DL frameworks (JAX, PyTorch, TensorFlow).
• Knowledge of distributed training for large multimodal models.
• Experience with autoregressive models for multimodal tasks (text, image, audio).
• Publications or notable open-source contributions in multimodal AI are a plus.

Responsibilities

• Design and develop cutting-edge multimodal AI systems (text, speech, vision).
• Conduct research and experiments on compute infrastructure for multimodal learning.
• Collaborate with world-class teams to advance implementation and evaluation.

Skills

Software engineering

Python

Multimodal AI

Distributed training

Research mindset

Tools

JAX

PyTorch

TensorFlow

CUDA

Job description

Cohere is seeking engineers to design and develop cutting-edge multimodal AI systems across text, speech, and vision. You will push the boundaries of model capabilities and work with leading compute infrastructure to explore novel ideas.

Join a team that values rapid experimentation, practical solutions, and impactful AI for enterprise use cases, with a remote-friendly setup and strong global presence.