Research Engineer

About EdgeRunner AI

EdgeRunner AI is on a mission to build Generative AI for the edge that is safe, secure, and transparent.

Our founding team is experienced in developing cutting-edge open source foundation models, optimizing models for edge use cases, and bringing this technology to users and enterprises around the world.

We believe Generative AI should be run locally and privately. We're building a suite of small, task-specific models that we call Ultra Efficient Language Models (UELMs). Our UELMs working together create swarm intelligence and can run on any device or hardware, especially air-gapped environments.

We're honored to have backing from leading VCs, including Four Rivers Group and Madrona Ventures, and we have ambitions to build an massive and ensuring business.

About the role

We’re looking to add a Research Engineer to the EdgeRunner AI research team. This person would be responsible for helping build and optimize small language models for edge use cases.

Key Responsibilities:

• Devise a research roadmap and work backwards from customer challenges

• Communicate research findings to non-technical customers and audiences

• Conduct research on advanced machine learning models, particularly in computer vision

• Develop and fine-tune models using state-of-the-art techniques

• Collaborate with engineering to integrate research findings into our products and services

• Contribute to open-source projects and give back to the broader AI community

Qualifications:

• Academic background (PhD minimum, postdoc preferred) in math, physics, or related field; equivalent self-taught expertise with a strong portfolio of open-source contributions also acceptable

• Experience with distributed systems, GPU Kernels, PyTorch/JAX

• Experience with LLMs and RL

• Demonstrated problem-solving skills and the ability to work independently in a remote team environment

• Comfortable receiving direct communication and feedback from colleagues

• Excited to work with DoD and defense sector partners

Compensation and benefits

• Competitive salary and equity commensurate with experience

• 100% paid premium health, vision, and dental insurance for employees, 50% for dependents

• 401(k) program

• Take PTO as needed, mandatory two weeks off

• $3,000 IT equipment stipend

Compensation Range: $100K - $300K