Machine Learning Systems Engineer, Research Tools

The role involves building cutting-edge systems for training AI models and improving advanced techniques in machine learning.

• Building and maintaining algorithms and infrastructure for training models
• Improving the performance and reliability of systems
• Supporting and empowering the research team
• Profiling reinforcement learning pipeline
• Building systems for launching training jobs
• Making changes to finetuning systems
• Implementing new training algorithms

• 2+ years of software engineering experience
• Strong results-oriented and impact-focused mindset
• Experience with high-performance distributed systems and Python
• Familiarity with Kubernetes and machine learning research
• Ability to work on improving system speed and reliability
• Understanding of societal impacts of work
• Willingness to pick up extra tasks and engage in pair programming