Staff Software Engineer, Intrinsic

• Proven success launching and iterating on machine learning or AI workflows and tools in production
• Including large-scale (i.e. distributed/cloud) data processing
• Leading large technical projects with multiple stakeholders
• Making practical trade-offs and phased deliverables
• Deep knowledge of, and experience with, the state-of-the-art in at least two of the following:
• Fine-tuning (supervised fine-tuning, parameter-efficient fine-tuning, e.g. LoRA),
• Serving (self-hosted LLMs for low cost and latency, token optimization for lower costs),
• Evaluating (measure quality of fine-tuned LLMs)
• PhD in Computer Science or equivalent work experience

Desirable

• You will lead a greenfield technical area in Intrinsic R&D, and your work will be necessary for deploying generative AI workflows externally
• This role comes with a broad scope; your technical leadership will be required to identify the critical projects and to deliver them in phases
• If successful, you will make core contributions underlying many workflows of robot software development at Intrinsic, both internal and external
• Fine-tune rapidly on user-provided examples of a particular type of data
• Distill model down to run on a single machine
• Develop scalable tools to measure quality of LLMs
• Estimate and reduce cost for serving and fine-tuning LLMs
• Explore and implement infrastructure to reduce latency and serving costs
• (for example, serve Gemma in a GKE cluster or Gemini Nano in a web browser)
• You will develop all the above in the context of authoring robotic solutions, in a user experience built for people with a wide range of robotics knowledge and software abilities
• You will work closely with a sub-team within the R&D division, but will also frequently collaborate with other engineering, product, and UX groups within Intrinsic