The position is for an ML Research Scientist specializing in large language models (LLMs) at a software company that focuses on deploying LLMs for enterprises and refining these models using sensitive data.
The company has recently raised $15.1 million in a Series A funding round, co-led by Canapi Ventures and Nexus Venture Partners, with additional contributions from Formus Capital and Soma Capital, totaling $19.3 million.
Responsibilities include owning an LLM vertical with a specific domain and optimization focus such as personalization, privacy, efficiency, explainability, or fairness.
The candidate will collaborate with the engineering team to deliver real-world applications of algorithms for customers.
The role also involves co-authoring papers, patents, and presentations with the research team by integrating the work of other members with the candidate's vertical.
Requirements:
The candidate should have deep domain knowledge in a specific LLM technique or area of research.
Extensive experience in implementing various types of LLM models and architectures in real-world scenarios is required.
The candidate must be comfortable leading end-to-end projects.
Adaptability and flexibility are essential, as the role may require abrupt shifts in focus due to new findings in the community.
While extensive experience in federated learning (FL) is not expected, familiarity with the concepts is beneficial.
Benefits:
The company offers an opportunity to work on cutting-edge technology in the field of large language models.
The role provides a chance to collaborate with a talented research team and contribute to significant publications and patents.
Employees will be part of a dynamic startup environment that encourages learning and innovation.
The position allows for the application of advanced research in practical, real-world scenarios, impacting enterprise solutions.