Senior Research Engineer

We're partnering with an innovative, mission-driven AI research organization that is advancing the next generation of large-scale foundation models. This team combines cutting-edge research with world-class engineering to develop open, impactful AI technologies spanning language models, multimodal systems, agentic AI, and large-scale machine learning infrastructure.

This is an opportunity to work alongside leading researchers and engineers while owning projects from experimentation through production-quality implementation. If you're passionate about advancing AI through rigorous research, collaborative engineering, and open innovation, we'd love to connect.

What You'll Do

• Build and optimize infrastructure supporting large language models, multimodal AI, and agentic systems, including training and inference pipelines, dataset curation, and large-scale data preprocessing.
• Design, train, and evaluate state-of-the-art multimodal models combining vision and language capabilities.
• Develop and improve agentic AI workflows involving planning, reasoning, tool use, and long-horizon task execution.
• Scope, prioritize, and lead research initiatives with a focus on high-impact experimentation.
• Bridge cutting-edge research with production-quality engineering through strong software development practices.
• Contribute to open-source AI initiatives through model releases, datasets, APIs, technical reports, and research artifacts.

What We're Looking For

• 4+ years of experience building machine learning infrastructure and training large-scale AI models.
• Deep expertise in deep learning, foundation models, or modern machine learning systems through industry experience and/or advanced research.
• Strong programming experience with Python and modern ML frameworks.
• Experience implementing experiments, analyzing results, and iterating on AI systems.
• Ability to work independently while collaborating closely with researchers and engineers.
• Strong written and verbal communication skills.

Preferred Experience

Experience with one or more of the following:

• PyTorch and/or JAX
• Large-scale distributed training
• GPU programming (CUDA)
• Cloud infrastructure
• Docker or containerized environments
• LLM and VLM serving frameworks
• Reinforcement learning training frameworks
• AI model evaluation
• Vision-language models
• Mixture of Experts (MoE) architectures
• Post-training techniques including instruction tuning, reinforcement learning, and reasoning optimization

Why Join

• Work on cutting-edge AI research with real-world impact.
• Collaborate with exceptional researchers and engineers in a highly technical environment.
• Contribute to open AI research and publicly available models, datasets, and tools.
• Strong culture of collaboration, continuous learning, and knowledge sharing.
• Excellent work-life balance and supportive team environment.
• Competitive compensation, annual bonus, and long-term incentive opportunities.
• Visa sponsorship available.
• Hybrid role based in Seattle, WA.

Compensation

• Base salary: $147,000-$220,000
• Annual bonus
• Long-term incentive program
• Comprehensive benefits package