tvScientific is looking to improve the quality, speed, and scalability of their ML inference in their Connected TV ad-buying platform
Requirements
- Proficiency in writing and reviewing production-level Python code
- Deep understanding of statistics and its application in machine learning
- Experience in adtech or connected TV (CTV) environments
- Proficiency with big data technologies such as Scala, Apache Spark, and AWS Athena
- Experience with experimental design and A/B testing methodologies
- Previous work with bandit algorithms and reinforcement learning techniques
- MLOps experience
Responsibilities
- Drive improvements in the quality, speed, and scalability of tvScientific's ML inference
- Write and review production-level Python code to ensure quality and efficiency
- Collaborate effectively within a talented team, providing expertise and guidance
Other
- 5+ years of experience for Senior role, 10+ years of experience for Staff role
- Full health, dental, and vision insurance - up to 95% funded by the company for employees
- Employee stock option program
- Company-sponsored retirement plan with a matching contribution program
- Strong communication and writing skills
