✨ About The Role
- The role involves training and deploying state-of-the-art models for parsing and interpreting unstructured data.
- Candidates will experiment with novel techniques to enhance the accuracy of large language models (LLMs).
- Building data pipelines, evaluating model performance, and integrating models into the product are key responsibilities.
- The position requires direct collaboration with founders and customers to influence product direction and engineering strategy.
- This is an in-person role at the company's office in San Francisco, emphasizing a fast-paced and hard-working environment.
âš¡ Requirements
- The ideal candidate has 2 to 5 years of experience in training, fine-tuning, and evaluating machine learning models in production systems.
- A strong proficiency in Python or similar programming languages is essential for success in this role.
- Candidates should possess a solid understanding of both traditional computer vision and vision-language models (VLMs).
- A hands-on approach to the full development lifecycle, from ideation to shipping, is crucial for this position.
- The successful candidate will have a high bar for quality and a proactive attitude towards problem-solving.