Machine Learning Systems Engineer, RL Engineering - job 1 of 2
Skills
- Software engineering
- High performance computing
- Distributed systems
- Python programming
- Machine learning techniques
Responsibilities
- Build, maintain, and improve algorithms and systems used for training AI models.
- Enhance the performance, robustness, and usability of training systems.
- Profile the reinforcement learning pipeline to find improvement opportunities.
- Implement and improve large-scale distributed systems.
- Diagnose and fix slowdowns in training runs.
Education
- Bachelor's degree in a related field or equivalent experience
Benefits
- Competitive compensation
- Generous vacation and parental leave
- Flexible working hours
- Collaborative office environment
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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Anthropic is an AI startup public-benefit company dedicated to AI safety and research, aiming to develop dependable, interpretable, and controllable AI systems. The company was was founded by former members of OpenAI in 2021.
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