Description:

Tavus is a Series A company focused on enhancing human-AI interaction through advanced multi-modal AI models and human avatar rendering.
The Senior Data Engineer will be responsible for the entire data strategy, including sourcing, curating, structuring, and optimizing data to support AI models and products.
The role requires anticipating future data needs and curating diverse, high-quality datasets to maximize AI model performance.
The engineer will collaborate with ML engineers to optimize datasets for AI effectiveness and will manage large-scale data procurement from various sources.
Responsibilities include mastering video data challenges, optimizing labeling and automation processes, and leveraging internal data for strategic decision-making.
The position emphasizes speed and precision in data management, ensuring that all workflows are efficient and reliable.

Requirements:

Candidates must demonstrate the ability to build and maintain data pipelines, taking ownership of data strategy from inception to execution.
A strategic mindset is essential, with the ability to anticipate data needs and influence AI development.
Experience with large language models (LLMs) and multimodal data is preferred, along with skills in sourcing, structuring, and optimizing data.
Proficiency in automating data workflows for cleaning, structuring, and labeling is required.
A strong understanding of the relationship between data quality and AI model accuracy is necessary.
Candidates should possess technical expertise in Python, SQL, and large-scale data processing tools.
The ability to balance speed and accuracy in data management is crucial, as is the capacity to set new standards for data practices.

Tavus offers a flexible work schedule and unlimited PTO to support work-life balance.
Employees receive competitive healthcare benefits and gear stipends.
The company fosters a diverse and supportive team culture, emphasizing shared success and personal growth.
Tavus encourages a learning environment where employees can directly impact the company's mission and work alongside a team they enjoy.