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About the Role

The Machine Learning Researcher will own cutting-edge research in mechanistic interpretability, context compression, and transformer training. Researchers drive projects end-to-end, from developing hypotheses and curating datasets to training models on large GPU clusters, evaluating results, and deploying models into production. This is a highly autonomous research role where shipping impactful models matters more than publishing papers.

Responsibilities

Design and execute experiments in LLM context compression and mechanistic interpretability.
Train transformer models from scratch, owning data, architecture, training loops, and evaluation.
Build datasets, labeling pipelines, and evaluation infrastructure.
Research and prototype novel model architectures and training methods.
Deploy successful models into production to improve customer outcomes.
Read and reproduce current AI research while driving independent research initiatives.

Requirements

Experience training machine learning models from scratch with full ownership of data, architecture, and training.
Strong understanding of transformers and modern deep learning techniques.
Hands-on experience with large-scale model training and experimentation.
Research mindset focused on rapid experimentation and production impact.
High agency and ability to self-direct research.
Willingness to work onsite in San Francisco in a fast-paced startup environment.
Experience pretraining transformer models.
Reinforcement learning or post-training experience for LLMs.
Novel architecture or training method development with measurable results.
Experience at frontier AI labs, leading university research groups, or early-stage AI startups.
Exceptional technical achievements such as Kaggle, ICPC, IOI, ISEF, or similar competitions.
Strong background in applied mathematics, computer science, or engineering.

Skills

Machine learning
Mechanistic interpretability
Context compression
Transformer training
Deep learning
Large-scale model training
Experimentation
Reinforcement learning
Applied mathematics
Computer science
Engineering

Location

San Francisco, CA

Work Type

Onsite
Startup environment

Salary/Compensations

$150,000 - $300,000 base salary

Benefits

Equity
Visa Sponsorship
H-1B sponsorship available through employer

About the Company

HHM Talent is assisting a client in their search for a Machine Learning Researcher.