ML Researcher: LLMs & Model Compression – On-Site SF

The Token Company (YC W26); San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

The Token Company is seeking a Machine Learning Researcher for an on-site role in San Francisco, CA. You will focus on research and development of ML models, with emphasis on refining compression techniques and exploring new ML approaches for LLMs.

The ideal candidate will have strong ML research background, experience with neural networks, and a PhD or MS in a related field. Independent research and problem solving are highly valued.

Qualifications

• Strong expertise in Neural Networks and Pattern Recognition.
• Background in Computer Science and ML.
• Proficiency in ML research and model training.
• Experience with large language models and natural language processing frameworks is highly beneficial
• Proven ability to conduct independent research and solve complex technical challenges
• Master's or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related field.

Responsibilities

• Research and development of machine learning models.
• Refine compression techniques and implement ML models.
• Research solutions in the domain of large language models.

Skills

Neural Networks

Pattern Recognition

Machine Learning

Research skills

Natural Language Processing

Education

Master's or Ph.D. in ML/AI/CS

Tools

NLP frameworks

ML frameworks

Job description

The Token Company is seeking a Machine Learning Researcher for an on-site role in San Francisco, CA. You will focus on research and development of ML models, with emphasis on refining compression techniques and exploring new ML approaches for LLMs.

The ideal candidate will have strong ML research background, experience with neural networks, and a PhD or MS in a related field. Independent research and problem solving are highly valued.