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Pragmatike
San Francisco, California, United States
Source: Pragmatike careers · View original posting
From Pragmatike's posting. “We” and “our” refer to the employer.
Member of Technical Staff — LLM Research & Training
We are looking for an exceptional
Member of Technical Staff specializing in Machine Learning and Large Language Models to join an early-stage AI company building and training state-of-the-art foundation models.
This role sits at the intersection of LLM research, large-scale training infrastructure, post-training, and GPU/kernel optimization.
We are particularly interested in highly motivated researchers and engineers who want to contribute directly to training powerful models — whether their strengths are in theoretical model research, training systems, distributed infrastructure, or low-level performance optimization.
You will work in a small, highly technical team where researchers and engineers collaborate closely and are expected to take ownership across the stack.
Have extremely strong technical fundamentals.
Are genuinely interested in understanding how modern language models work internally.
Prefer building and improving models rather than simply applying existing LLMs to business use cases.
Are comfortable moving between research and engineering.
Have high energy, intellectual curiosity, and low ego.
Enjoy working in small, fast-moving teams.
Are comfortable tackling problems that do not yet have established solutions.
Can independently turn research ideas into working systems and experiments.
Nice to Have
Experience at an early-stage AI startup.
Contributions to open-source ML frameworks or research projects.
Experience optimizing GPU kernels or inference engines.
Experience building training infrastructure from scratch.
Experience training models across large GPU clusters.
Strong systems engineering or HPC background.
Not a Fit If
This role is probably not the right fit if your experience is primarily:
Integrating existing LLM APIs into applications.
Building RAG or chatbot applications without working on the underlying models.
Prompt engineering without model training experience.
Working exclusively in large, highly structured engineering organizations with narrowly defined responsibilities.
Location
San Francisco, CA
This is an on-site position, 5 days per week
, based in San Francisco's Financial District.
Visa Sponsorship
Visa transfers may be supported, including candidates currently on statuses such as OPT or H-1B
, depending on individual circumstances.
Compensation
Base Salary: $200,000 – $350,000
Plus competitive equity.
Compensation will depend on experience, technical depth, research background, and expected impact.
Hiring Plan
We are looking to hire multiple exceptional engineers and researchers for this team.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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