Member of Technical Staff, Infrastructure
The Token Company (YC W26, HF0 S26) is a seed stage startup in San Francisco, CA, and has raised ~$12M from First Round Capital, NEA, YC and SV Angel along with investors such as founders of Dropbox, Slack, Supercell and Huggingface and key people from OpenAI, xAI and DoorDash.
The Token Company trains machine learning models to compress raw LLM inputs before they are passed to the expensive LLMs. Our models are able to recognize parts of inputs that are unimportant, reducing inference costs for scale-ups and enterprises that integrate LLMs into their products. The team is 5 people with a research and product focus.
As a Member of Technical Staff on our infrastructure team, you'll own the cloud systems that serve our compression API end-to-end. You'd get to build global low-latency, high-throughput GPU ML inference infra that sits in the critical path of customer traffic, from deployment and scaling to reliability and cost-efficiency. This is a very high ownership role where you'd need to learn a lot of new solutions and technologies, constantly improving and researching what's best. The ideal candidate fits our culture and is:
A quick learner: grasping the product and the systems around it and moving fast is important
Strong in cloud infrastructure: comfortable with AWS, Terraform, Docker and CI/CD, and building for performance and reliability at scale
Have owned an infra stack end-to-end: have built and operated production infrastructure yourself before, at a startup or a larger company
In addition to base salary, this role is eligible for significant equity. We also provide housing, food, laundry and cleaning in SF, visa sponsorship, and a position to build the team around you with our resources.
Our website: thetokencompany.com
Check your CV against this role
Drop your CV. You get a 0-100 fit score against the actual job description, plus the read a senior engineering lead would write. Private to you.
Score this once, or every future role
Start the candidate journey and every new role on the board gets scored against you.
Five minutes. Tell us what you’re after, drop your CV once, pick how we should reach out. You get a candid read back and you only hear from us when a role fits.