2 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
