Tech Stack
Responsibilities
- Research and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.
- Design and run scientific experiments to advance understanding of scaling large language models and data efficiency.
- Implement state-of-the-art methods from the deep learning literature.
- Lead small research projects independently while collaborating on larger initiatives.
- Optimize the training infrastructure for efficient scaling and contribute across the entire stack.
Benefits
- Equity
- Gym Membership
- Health Insurance
- Parental Leave
Culture
Fast-PacedStartup EnergyCustomer-ObsessedCross-Functional Teams
Requirements
Required: Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.
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About Reflection AI
Industry: ai
Size: startup
Reflection AI is building open superintelligence and making it accessible to all, developing open weight AI models for individuals, agents, enterprises, and nation states.
View company profile →Compensation
Equity: Equity structured to recognize and retain the best talent globally.