Post-Training Research Engineer: ML Alignment & Pipelines

Character.AI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading AI technology firm in San Francisco is looking for a Research Engineer, Post-Training. This role involves optimizing AI models and developing algorithms to enhance data efficiency. Candidates should have a PhD or equivalent and experience with machine learning techniques and data pipelines. Join a pioneering team shaping the future of AI-driven technology, where diversity and creativity are valued in a rapidly growing industry.

Qualifications

• PhD or equivalent experience in a relevant field.
• Experience with data pipelines and data infrastructure.
• Track-record of exceptional research or creative applied ML projects.

Responsibilities

• Develop alignment algorithms and loss functions to improve data sample efficiency.
• Write data pipelines to process diverse web data into a format models can ingest.
• Identify quality signals to understand our model’s performance in the real world.
• Design sampling algorithms to improve serving efficiency of large generative models.

Skills

Experience working with GPUs

Strong understanding of modern machine learning techniques

Write clear and clean production-facing and training code

Education

PhD or equivalent

Tools

Kubernetes

Docker

Job description

A leading AI technology firm in San Francisco is looking for a Research Engineer, Post-Training. This role involves optimizing AI models and developing algorithms to enhance data efficiency. Candidates should have a PhD or equivalent and experience with machine learning techniques and data pipelines. Join a pioneering team shaping the future of AI-driven technology, where diversity and creativity are valued in a rapidly growing industry.