Principal Engineer in Adtech - Data Science & AI Department

Teads • Paris, TX

29d • Hybrid

About The Position

Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries. For more information, visit www.teads.com. We are seeking a Principal Engineer for our Data Science & AI department, with deep experience in the advertising industry, to join a team of passionate engineers who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that make 1B predictions per second during real-time auctions. The Principal position at Teads represents the highest level of seniority on the IC ladder. They are tackling cross-functional, strategical, and pivotal initiatives, prioritizing robust engineering choices. Principals are working closely with the Leadership, Product and Engineering teams, all while fostering a culture of excellence. As a Principal Engineer in our Data Science & AI Department your mission will be to: Stay on top of the state-of-the-art science and technology of large scale advertising systems Areas of interest are models for CTR and CVR, foundation models for recommendation systems, on-line learning, cold start, embeddings for users, ads and similar,ad matching and ranking, pacing and optimal bidding, auction design, etc. Work with teams of data scientists and machine learning engineers to identify investment opportunities Help the teams across the organization in implementing the solutions as an advisor On projects you choose you will be a part of the implementation team where you will be expected to participate in bringing them projects to the production environment Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios Spend time experimenting with new approaches by yourself Follow industrial and academic research, occasionally publish at conferences

Requirements

• Deep experience of the ad tech industry use of AI and data science
• Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate complicated topics to expert audiences
• Strong problem solving skills, and ability to align teams on solutions
• True scientist skills: fast learner, curious, sense of details, rigorous
• Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …)
• Ability to read scientific articles, to analyze critically, and to implement as appropriate
• Good taste in architecture of AI systems

Responsibilities

• Stay on top of the state-of-the-art science and technology of large scale advertising systems
• Areas of interest are models for CTR and CVR, foundation models for recommendation systems, on-line learning, cold start, embeddings for users, ads and similar,ad matching and ranking, pacing and optimal bidding, auction design, etc.
• Work with teams of data scientists and machine learning engineers to identify investment opportunities
• Help the teams across the organization in implementing the solutions as an advisor
• On projects you choose you will be a part of the implementation team where you will be expected to participate in bringing them projects to the production environment
• Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
• Spend time experimenting with new approaches by yourself
• Follow industrial and academic research, occasionally publish at conferences

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed