Post-Training Production ML Engineer (Flexible Hours)

Anthropic; San Francisco (CA); On-site; USD 315,000 - 510,000; Full time

Benefits offered by this job

Flexible working hours

Generous vacation and parental leave

Office space for collaboration

Job summary

A leading company focused on AI safety is looking for a Research Engineer for their Post-Training team in San Francisco. The role involves developing systems that optimize the capabilities of AI models and collaborating with researchers to implement advanced AI techniques. Candidates should have strong software engineering skills, particularly in Python, and experience with ML systems. This position offers competitive compensation and a range of benefits, fostering a collaborative environment for impactful AI research.

Qualifications

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

Responsibilities

• Implement and optimize post-training techniques at scale on frontier models.
• Design, build, and run robust pipelines for model fine-tuning.
• Debug complex issues in training pipelines and model behavior.

Skills

Software Engineering

Large-scale Distributed Systems

Debugging Model Training Processes

AI Safety

Collaboration

Analytical Skills

Education

Bachelor's degree in a related field

Tools

Python

Deep Learning Frameworks

Job description

A leading company focused on AI safety is looking for a Research Engineer for their Post-Training team in San Francisco. The role involves developing systems that optimize the capabilities of AI models and collaborating with researchers to implement advanced AI techniques. Candidates should have strong software engineering skills, particularly in Python, and experience with ML systems. This position offers competitive compensation and a range of benefits, fostering a collaborative environment for impactful AI research.