Job description
Responsibilities:
· Build forecasting models to allow advertisers to more efficiently spend ad budgets.
· Create innovative monetization products that drive engagement and revenue.
· Participate in the development of a large-scale Ads system.
· Participate in the development and iteration of Ads algorithms by using Machine Learning
· Work on NLP and CV related technology for content understanding and taxonomy.
· Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
Minimum Qualifications:
· Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
· Ability to think critically and to formulate solutions to problems in a clear and concise way.
· Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
Experience with one or more of the following: Machine Learning in forecasting, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack
Job Type: Full-time
Pay: $250,000.00 - $350,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Schedule:
- 8 hour shift
Experience:
- brand ads or ads forecasting: 2 years (Required)
- Big tech software/ internet companies: 3 years (Required)
- Machine learning: 5 years (Preferred)
Ability to Commute:
- Seattle, WA 98101 (Required)
Ability to Relocate:
- Seattle, WA 98101: Relocate before starting work (Required)
Work Location: In person
