Member of Technical Staff, Research

The Token Company; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Equity

Housing support

Visa sponsorship

Job summary

The Token Company in San Francisco is looking for a Member of Technical Staff to lead its model training efforts. You will be responsible for the entire model training stack, focusing on data, architecture, and production deployment.

Ideal candidates should have strong machine learning fundamentals and hands-on research experience building models. The position offers base salary, equity, and support for housing, food, and visa sponsorship.

Qualifications

• Must be a quick learner with the ability to iterate on new ideas.
• Comfortable with training, fine-tuning, and evaluating transformer models.
• Has hands-on experience building and training models from scratch.

Responsibilities

• Own the model training stack end-to-end.
• Work on data and architecture for machine learning models.
• Evaluate and ship compression models into production.

Skills

Machine learning fundamentals

Model training and fine-tuning

Research experience

Problem-solving

Job description

Company Overview

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 redundant, 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.

Role Overview

As a Member of Technical Staff on our research team, you'll own the model training stack end-to-end, from data and architecture to evaluation and shipping compression models into production.

Qualifications

• A quick learner: grasping the problem deeply and iterating fast on new ideas is important.
• Strong in ML fundamentals: comfortable training, fine‑tuning and evaluating transformer models, and reasoning about new research.
• Hands‑on research experience: have built and trained models from scratch previously, ideally in a research lab, startup or scale‑up, and care about getting them into production rather than just publishing.

Benefits

• Base salary, equity and a position to build the team around you with our resources.
• Housing, food, laundry and cleaning in SF.
• Visa sponsorship.

Contact

Our website: thetokencompany.com