Member of Technical Staff, Research ($120k-$300k + Equity) at The Token Company

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Job Title

Member of Technical Staff, Research

Salary

$120k-$300k Equity

Company Description

The Token Company is a $12M seed-stage San Francisco startup backed by First Round Capital, NEA, and Y Combinator building ML models that compress raw LLM context.

Job Description

You will own the model training stack end-to-end, designing and training compression models from scratch on NVIDIA B200s. Moving beyond simple RAG or prompt engineering, you will solve deep research problems in mechanistic interpretability and data generation to identify which information truly matters to an LLM, delivering immediate cost and latency improvements for production users.

Location

San Francisco, USA

Why this role is remarkable

• Work on a high-leverage research problem—context compression—with a direct feedback loop from real production usage and high-growth scale-up customers.
• Exceptional backing with $12M from First Round, NEA, and the founders of Hugging Face, OpenAI, and xAI, providing massive resources and runway.
• Live and work in San Francisco with a unique support package including housing, food, laundry, and visa sponsorship, allowing total focus on research.
  
  

What You Will Do

• Design and train novel transformer architectures from scratch on NVIDIA B200 clusters to compress context while preserving downstream model answerability.
• Build and own the entire training pipeline, including synthetic data generation, post-training, evaluation design, and shipping models into production.
• Analyze mechanistic interpretability and routing strategies to ensure compressed contexts generalize across domains without degrading downstream LLM performance or quality.
  
  

The ideal candidate

• Deep experience pretraining or performing significant post-training on transformer models, moving beyond basic fine-tuning or calling external model APIs.
• Strong ML fundamentals with the ability to translate research papers into high-performance training runs and novel architectural implementations from scratch.
• A production-first mindset that prioritizes shipping models that solve real-world economic constraints over purely academic publication goals or static evals.
  
  

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

• Jack's an AI agent for job searching and career coaching. He works for you.
• Jill is the AI recruiter working for the company. She recruits from Jack's network.
• If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
  
  

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.