It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
These models are consumed across multiple business units to power a wide range of use cases enabling teams to solve complex problems and deliver tailored solutions. You'll help build the next generation of enterprise language models that bring AI experiences into our customers' day to day work serving more than 9000 enterprise customers worldwide. We're just getting started with our early adopter customers and we need your help building an amazing range of solutions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Expertise in LLM post training including supervised fine tuning and distillation
- Expertise in reinforcement learning for LLMs including PPO GRPO DPO and reward modeling
- Hands on experience with training frameworks and distributed and large scale training including FSDP DeepSpeed and Megatron as well as parallelism strategies such as tensor pipeline expert and data parallelism
- Experience with synthetic data generation for training and evaluation
- Experience with data curation at scale including deduplication filtering and data mixture design
- Familiarity with a range of transformer architectures including decoder only or autoregressive encoder decoder and mixture of experts
More about this role
The Core AI Model Training team leads research and engineering across the full lifecycle of large language model development for enterprise use cases including data curation pretraining fine tuning and evaluation. Our goal is to continuously improve our custom enterprise models by incorporating novel techniques and optimizing training and inference efficiency establishing a differentiated advantage for AI applications across the platform.
These models are consumed across multiple business units to power a wide range of use cases enabling teams to solve complex problems and deliver tailored solutions. You'll help build the next generation of enterprise language models that bring AI experiences into our customers' day to day work serving more than 9000 enterprise customers worldwide. We're just getting started with our early adopter customers and we need your help building an amazing range of solutions.
- Confronted with real world challenges and datasets you will use your AI and ML expertise and creativity to apply existing methods and develop new ones to solve problems in a practical and scalable way.
- Research propose implement train and evaluate models and techniques end to...
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