Member of Technical Staff, Research

The Token Company

• $150K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience in model training from scratch
  • Strong understanding of machine learning fundamentals, particularly with transformers
  • Proven ability to design and efficiently implement training architectures
  • Quickly grasp complex problems and propose effective solutions
  • Focus on practical applications and user-oriented results rather than academic output

Responsibilities

  • Own and manage the model training stack from data collection to deployment
  • Design architectures for innovative machine learning models
  • Train and evaluate models using NVIDIA B200s hardware
  • Ship compression models into production environments
  • Iterate quickly on model performance based on real-world feedback

Benefits

  • Competitive base salary with potential for significant equity
  • Comprehensive support covering housing, food, laundry, and cleaning in San Francisco
  • Visa sponsorship for eligible candidates
  • Resources provided to establish and grow the research team
  • A collaborative environment focused on practical application of research
Full Job Description
Member of Technical Staff, Research

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

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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