Post-Training AI Engineer for Production Models

Anthropic; New York (NY); Hybrid; USD 350,000 - 500,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Job summary

Anthropic, based in New York, seeks a Research Engineer on the Post-Training team to train base models through the full post-training stack and deliver production Claude models. You’ll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI and RLHF.

You'll collaborate with researchers and engineers to ensure safety, reliability, and high performance of production models, with strong

Qualifications

• Strong software engineering skills with experience building complex ML systems.
• Experience with training, fine-tuning, or evaluating large language models.
• Proficiency in Python, DL frameworks, and distributed computing.

Responsibilities

• Implement and optimize post-training techniques at scale on frontier models.
• Conduct research to develop and optimize post-training recipes that directly improve production model quality.
• Design, build, and run robust pipelines for model fine-tuning and evaluation.
• Develop tools to measure and improve model performance across various dimensions.
• Collaborate with research teams to translate emerging techniques into production-ready implementations.
• Debug complex issues in training pipelines and model behavior.
• Help establish best practices for reliable, reproducible model post-training.

Skills

Python

Deep Learning

Distributed Computing

LLMs

ML Systems

Research Collaboration

Education

Bachelor’s degree in a relevant field

Tools

TensorFlow

PyTorch

JAX

Job description

Anthropic, based in New York, seeks a Research Engineer on the Post-Training team to train base models through the full post-training stack and deliver production Claude models. You’ll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI and RLHF.

You'll collaborate with researchers and engineers to ensure safety, reliability, and high performance of production models, with strong