Data Scientist Ii-Audiences, Contextual Domain

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

 

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally.

 

ABOUT THE ROLE

Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring. Our Data Scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders.

 

This particular role is responsible for the research and application of open-source and proprietary NLP models, exploring new applications and solutions for related technologies in the fields of intelligent Q&A, search, recommendation, advertising, content creation, and customer service, to meet the growing demand for advanced contextual products on our platform.

 

The main job directions include:
- Explore, evaluate and deploy NLP models, including embedding models, NER models, large language models, etc.  And optimize the implementation to scale up to TTD's volume;
- Data construction, instruction tuning, fine tuning, and other model incremental improvement;
- Implementation of relevant applications, including content generation, RAG, reasoning, sentiment scoring, etc.;
- Insight into different TTD products' performance through proprietary TTD contextual data

 

WHO WE ARE LOOKING FOR

• Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of AI foundation models and solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and machine learning models.

• Hands-on experience building NLP models at large scale. At rack record of partnership with a cross-functional team of Data Scientists, engineers and product managers to deliver AI-powered analytics or models.

• Possessing a keen sense of data intuition and the ability to innovate in the field of machine learning, as evidenced by achievements like first-author publications or project successes.

 WHAT YOU BRING TO THE TABLE

We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience:

• BS/MS with 4+ years or a PhD with 2+ years of experience working in a DS or ML role that involves bringing products from ideation to production.
• Experience in deep learning, TensorFlow/PyTorch preferred.
• The ability to communicate with diverse stakeholders, making architecture recommendations, ensuring effective execution, and measuring quality of outcomes.
• Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets preferred.
• Proficient in Python. Strong spark skills are a plus..