Synced from Ashby · Jun 13

Machine Learning Research Engineer

The Token CompanySan FranciscoPosted Jun 13, 2026
Research EngineerOn-siteSenior
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Jun 13
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Job description

Member of Technical Staff, Research

The Token Company (YC W26, HF0 S26) · San Francisco, CA

The Token Company is a seed stage startup in San Francisco. We have raised $12M from First Round Capital, NEA, Y Combinator and SV Angel, alongside the founders of Dropbox, Slack, Supercell and Hugging Face, and key people from OpenAI, xAI and DoorDash.

We train machine learning models that compress raw LLM inputs before they reach the expensive model. Our models learn which parts of an input are redundant and strip them out, cutting inference costs for the scale-ups and enterprises building on LLMs. We are a team of five with a tight research and product focus, and we ship what we train.

The role

As a Member of Technical Staff on the research team, you own the model training stack end to end: data, architecture, training, evaluation, and shipping compression models into production. This is a from-scratch model training role. You will spend your time designing and training models on NVIDIA B200s, not wiring up RAG pipelines or prompting other people's APIs.

Who you are

  • You have trained models from scratch. You have owned data, architecture and a training loop yourself, ideally in a research lab, a startup or a scale-up. Not only fine-tuning or calling an API.

  • You are strong in ML fundamentals. You are fluent with transformers and comfortable turning a paper or a rough idea into a real training run.

  • You learn fast. You get to the core of a hard problem quickly and iterate on new ideas without hand-holding.

  • You care about production. You would rather see your model cut real inference costs for real users than add another line to a publication list.

You will stand out if you have

  • Pretrained a transformer, or done serious post-training or RL on one

  • Built a novel architecture or training method with results to back it up

  • Shipped a model you trained into something people actually use

Probably not a fit if

  • Your experience is mostly RAG, agents, prompt engineering, or fine-tuning existing models through an API

  • You want to publish papers more than you want to ship models

Compensation and support

Competitive base salary plus significant equity. We also cover housing, food, laundry and cleaning in San Francisco, sponsor visas, and give you the resources and a real seat to build the research team around you.

thetokencompany.com

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What applying to The Token Company usually looks like

Based on publicly available information, candidates applying through ashby can generally expect a structured process that typically begins with an online application and resume review, followed by recruiter or hiring manager screening if there is interest. For technical roles like infrastructure-engineer or research-engineer, the process may include multiple stages such as technical assessments, coding or systems design discussions, and conversations with team members. For roles like vp-of-sales, expect stages that may focus on strategic thinking, leadership scenarios, and stakeholder alignment. Ashby-based processes commonly allow candidates to track application status through an online portal. Communication style and pacing can vary by team, and response times vary depending on role and hiring volume. Candidates should prepare typical materials such as an updated resume, portfolio, or references, as these are commonly requested during later stages at The Token Company.

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Machine Learning Research Engineer
The Token Company · San Francisco
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