Open-Source AI Research Engineer: LLM & Multimodal Infra

Fuel Talent; Seattle (WA); On-site; USD 147,000 - 220,000; Full time

Benefits offered by this job

Visa support

Open-source collaboration

Seattle-based opportunity

Job summary

Fuel Talent partners with a Seattle-based AI research institute to recruit researchers for training flagship open models. You will own delivery end-to-end from system design to experiment release, collaborating with research and engineering peers.

Requires 4+ years in ML infrastructure, strong Python and PyTorch skills (JAX a plus), and a PhD is a bonus. Opportunity to work on vision-language models, MoE training, and RL-based methods in a cutting-edge environment.

Qualifications

• BS/MS or higher in CS, Math, or a related quantitative field
• 4+ years in ML infrastructure and experience training LLMs or multimodal models end-to-end at scale
• Proficiency in Python & PyTorch (JAX a plus)

Responsibilities

• Build and optimize infrastructure for LLMs, multimodal, and agentic research: training/inference pipelines, dataset curation, large-scale preprocessing
• Design, train, and evaluate multimodal models and agentic workflows, including tool use, planning, and long-horizon tasks
• Scope and lead research projects, prioritizing experiments for highest impact
• Contribute to the open-source community via model releases, datasets, APIs, and technical reports

Skills

ML infrastructure

Python

PyTorch

Large language models

Multimodal models

Research collaboration

Education

BS/MS in CS/Math or related

Tools

GCP

Docker

CUDA

Job description

Fuel Talent partners with a Seattle-based AI research institute to recruit researchers for training flagship open models. You will own delivery end-to-end from system design to experiment release, collaborating with research and engineering peers.

Requires 4+ years in ML infrastructure, strong Python and PyTorch skills (JAX a plus), and a PhD is a bonus. Opportunity to work on vision-language models, MoE training, and RL-based methods in a cutting-edge environment.