Principal AI Engineer, AdTech Data Systems Leader

Requirements

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

What the job involves

• 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
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• We build and operate large-scale distributed machine learning systems that make 1B predictions per second during real-time auctions
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• The Principal position at Teads represents the highest level of seniority on the IC ladder
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• They are tackling cross-functional, strategical, and pivotal initiatives, prioritizing robust engineering choices
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• Principals are working closely with the Leadership, Product and Engineering teams, all while fostering a culture of excellence
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• Stay on top of the state-of-the-art science and technology of large scale advertising systems
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• 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
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• Work with teams of data scientists and machine learning engineers to identify investment opportunities
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• Help the teams across the organization in implementing the solutions as an advisor
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• 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
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• Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
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• Spend time experimenting with new approaches by yourself
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• Follow industrial and academic research, occasionally publish at conferences
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• The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers
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• Your peers will all have deep experience from on-line ad systems from Teads and previous companies. We are staying at the bleeding edge of research and technology
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• The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B
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• Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes