AI Engineer - LLM Training & Fine-Tuning

Date Posted: Dec 29, 2023

SectorFlow is Hiring Experts in Pre-training and Fine-tuning Large Language Models

SectorFlow is looking for skilled individuals to take on the role of pre-training and fine-tuning large language models. This exciting opportunity involves working on the cutting edge of generative AI technology.

The Role Involves:

  • Modifying pre-trained large language models to enable human interaction.
  • Equipping large language models with the capability to call external tools.
  • Aligning large language models based on deployment feedback or through an ad-hoc annotation process.
  • Designing the ad-hoc annotation processes themselves.

Participation in the pre-training effort is also a key aspect of this role.

Successful Candidate Will Have:

  • A high scientific understanding of generative AI, encompassing a broad knowledge of the AI field and specific expertise or interest in fine-tuning and applying language models for practical uses.
  • High technical engineering competence, including the ability to design complex software for production use. Proficiency in navigating the full MLOps technical stack, with a focus on architecture development, model evaluation, and usage. Capabilities in occasional front-end development and managing complex HPC infrastructure autonomously.

Requirements:

At SectorFlow, we value talent and potential over resumes. Your knowledge and proficiency in designing and training language models should place you in a position to join a highly competitive environment, working alongside a demanding team that strives to deliver products at the forefront of scientific innovation.

How to Apply

To apply, send your resume and a cover letter to [email protected]. Include "AI Engineer - LLM Training & Fine-Tuning" in the subject line.


SectorFlow is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.