Mirendil
Member of Technical Staff, Pretraining
San Francisco · Staff+
Sponsorship not specified$300k-$500kDetected 28 days ago
AlgorithmsData EngineeringResearch
About the role
- We are looking for an engineer to work at the intersection of research and systems on our pretraining stack.
- You'll contribute across the full pipeline, from data processing and model architecture to distributed training infrastructure and low-level optimization, and help determine how we scale our next generation of models.
- Some example areas you might work on (not limited to):
Responsibilities
- Implement and iterate on model architectures, training algorithms, and optimizer research in large-scale pretraining runs
- Design and build large-scale data pipelines for efficient model consumption and dataset curation
- Optimize training throughput for novel attention mechanisms, architecture variants, and compute efficiency improvements
Compensation
- We offer a base salary of $300,000–$500,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.
Benefits
- We offer a base salary of $300,000-$500,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.
- Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments.
Company info
- We are building a frontier AI research company and training our own models end-to-end.
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