Frontier RL Research Engineer

Alcides Fonseca; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation and parental leave

Flexible working hours

Job summary

Alcides Fonseca is hiring a Research Engineer to join Anthropic's RL Scaling Science team in Greater London. This role involves designing and conducting large-scale experiments to enhance reinforcement learning systems. Candidates should have a strong background in empirical research, proficiency in Python, and experience in large-scale machine learning.

The company promotes a positive work culture with competitive benefits, including generous leave and flexible working hours. They are dedicated to responsible AI development, making this position crucial for advancing AI technology responsibly.

Qualifications

• Demonstrated ability to own large experiments end-to-end.
• Care about the societal impacts of AI and responsible scaling.
• Experience translating research findings into production training recipes.

Responsibilities

• Design and run large-scale RL experiments.
• Investigate how RL improves with increases in horizon, compute, and model size.
• Translate validated findings into production training recipes.

Skills

Strong empirical research skills in Reinforcement Learning

Proficiency in Python

Experience with large-scale or distributed ML systems

Education

Bachelor’s degree or equivalent

Tools

Python

Job description

Alcides Fonseca is hiring a Research Engineer to join Anthropic's RL Scaling Science team in Greater London. This role involves designing and conducting large-scale experiments to enhance reinforcement learning systems. Candidates should have a strong background in empirical research, proficiency in Python, and experience in large-scale machine learning.

The company promotes a positive work culture with competitive benefits, including generous leave and flexible working hours. They are dedicated to responsible AI development, making this position crucial for advancing AI technology responsibly.