4 months ago
Paris, FranceStaff+
Responsibilities
- Track state-of-the-art science and technology for large-scale advertising systems.
- Identify investment opportunities with data scientists and machine learning engineers.
- Advise teams across the organization on implementing AI and data science solutions.
- Participate in implementation and production deployment for selected projects.
- Work with product managers to prioritize projects based on cost, benefit, risk, and reward.
- Experiment independently with new approaches.
- Follow industrial and academic research and occasionally publish at conferences.
- Help shape robust engineering choices and cross-functional strategic initiatives.
Requirements
- Deep experience applying AI and data science in the advertising technology industry.
- Experience with statistics, including statistical analysis or regression analysis, and/or artificial intelligence, including data mining or machine learning.
- Ability to read, critically analyze, and appropriately implement scientific research.
- Strong architectural judgment for AI systems.
- Strong communication, collaboration, teaching, problem-solving, and team-alignment skills.
- Curiosity, rigor, attention to detail, and ability to learn quickly.
Benefits
- Collaborative, global, diverse, and forward-thinking work environment.
- Support, tools, and development opportunities for professional growth.
- Employee Resource Groups supporting environmental, women’s empowerment, charitable, and diversity, equity, and inclusion initiatives.
- Equal employment opportunity and commitment to diversity and inclusion.
Categories
AI ResearchML Engineering
About Teads
Teads builds an omnichannel advertising platform used by brands and agencies to run video and display campaigns across mobile, web, and connected TV, and by publishers to monetize inventory via a supply-side platform and ad exchange. The company earns revenue from media activation and platform fees. Headquartered in New York, it operates globally and is owned by Altice.