<div class="content-intro"><p><strong>About Teads </strong></p> <p>Teads is a leading omnichannel advertising platform building the future of digital advertising where quality content, trusted publishers, ambitious brands, and human creativity can thrive. Operating at true scale - processing 18 billion ad opportunities every single day - we connect global brands with a monthly reach of over 2.2 billion unique users.</p> <p>At Teads, we believe <strong>your impact travels further</strong>. We are a borderless team of 1,700+ innovators across 30+ countries who favor outcome over tenure, value trusted autonomy, and use predictive AI to amplify human ingenuity rather than replace it. We move at pace, tackle genuinely complex problems, and foster a high-accountability culture that stays genuinely human. If you are looking for room to build and meaningful scope, you belong here. Learn more at<a href="https://www.teads.com/"> </a><a href="http://www.teads.com">www.teads.com</a>.</p></div><div><span style="font-size: 12pt;"><strong>About the opportunity </strong></span><span style="font-size: 12pt;">We are seeking a <strong>Principal Engineer Consultant for our Data Science & AI department,</strong> with <strong>deep experience in the advertising industry,</strong> 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.</span></div> <div> </div> <div><span style="font-size: 12pt;">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. </span></div> <div> </div> <div><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>What will you do?<br><br></strong></span></div> <div style="text-align: justify; line-height: 1.2;"> <div style="text-align: justify; line-height: 1.2;"> <div style="text-align: justify; line-height: 1.2;"> <div style="text-align: justify; line-height: 1.2;"><span style="font-size: 12pt;">As a <strong>Principal Engineer</strong> in our Data Science & AI Department your mission will be to:</span> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Stay on top of the state-of-the-art science and technology of large scale advertising systems</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Work with teams of data scientists and machine learning engineers to identify investment opportunities</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Help the teams across the organization in implementing the solutions as an advisor</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Spend time experimenting with new approaches by yourself</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Follow industrial and academic research, occasionally publish at conferences</span></li> </ul> <span style="font-size: 12pt;"><strong>What will you bring to the team?</strong></span> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Deep experience of the ad tech industry use of AI and data science</strong></span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate complicated topics to expert audiences</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong problem solving skills, and ability to align teams on solutions</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">True scientist skills: fast learner, curious, sense of details, rigorous</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Ability to read scientific articles, to analyze critically, and to implement as appropriate</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Good taste in architecture of AI systems</span></li> </ul> <span style="font-size: 12pt;"><strong>The team&