Research Engineer, Production Model Post-Training at Anthropic

Hybrid - San Francisco, CA; New York City, NY; Seattle, WA

Apply
More jobs at Anthropic

Anthropic’s production models undergo sophisticated post‑training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post‑Training team, you’ll train our base models through the complete post‑training stack to deliver the production Claude models that users interact with. You’ll work at the intersection of cutting‑edge research and production engineering, implementing, scaling, and improving post‑training techniques such as Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

Salary

USD 350,000 - 500,000

Requirements

Skills

  • Strong software engineering skills with experience building complex ML systems
  • Comfortable working with large-scale distributed systems and high-performance computing
  • Experience with training, fine-tuning, or evaluating large language models
  • Ability to balance research exploration with engineering rigor and operational reliability
  • Proficiency in Python, deep learning frameworks, and distributed computing
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Field relevant to the role as demonstrated through coursework, training, or professional experience

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, efficient 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

Technologies

Pythondeep learning frameworksdistributed computingLarge Language Models (LLMs)Constitutional AIRLHFalignment methodologies

Share job

See if your resume is ready for this job

See how our AI can optimize your resume and improve your chances for this role.