Member of Technical Staff: Data Researcher
2 months ago
Introduction: We are seeking a Member of Technical Staff: Data Researcher to join our team. In this pivotal role, you will conduct research on techniques and methodologies to select and curate data that advances model capabilities and enhances training effectiveness. This position requires a methodical approach and collaboration with various stakeholders to drive our data strategy forward.
About the Company: Our organization is dedicated to advancing the partnership between humans and computers. We believe in creating exceptional end-user experiences by innovating across the stack—from user interfaces to underlying models. Our small, focused team is passionate about solving real-world AI problems. Backed by leading investors, we are well-capitalized and ready to make significant strides in AI technology.
About the Role: As a Data Researcher, you will explore and experiment with strategies for curating, cleaning, structuring, and augmenting data on a large scale. Your work will directly impact our product use cases and overall data strategy. You will collaborate closely with the data infrastructure team and the crawling team to iterate quickly on hypotheses and incorporate user feedback and industry knowledge into our data preparation processes.
What We Offer You:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and innovative work environment
- Relocation assistance for new employees
Key Responsibilities:
- Experiment with strategies for curating, cleaning, structuring, and augmenting data at a large scale
- Design efficient metrics to provide signals on data quality
- Develop proxies to evaluate the performance of different data sources and preparation strategies on downstream model performance
- Incorporate knowledge of product use cases and feedback into our data preparation strategy
- Collaborate closely with our data infrastructure and crawling teams to enable rapid experimentation
Relevant Keywords: Machine Learning, Data Annotation, Applied AI, Software Engineer, LLM, Large Language Model, Python, Typescript, Deep Learning, Algorithms
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