VideoAmp is looking to solve the business and technical problem of creating the best employee and workplace experience, while also challenging advertising paradigms to maximize value for clients by enabling companies to execute on business outcomes across their media investment.
Requirements
- Expert-level proficiency in Python, ML frameworks, and distributed data processing (Spark, Hive).
- Deep understanding of data quality methodologies, fault-tolerant data systems, and validation frameworks.
- Strong experience designing and scaling ML infrastructure, automated pipelines, and production-grade deployment workflows.
- Hands-on experience with cloud-native architectures, ideally on AWS.
- Expertise with CI/CD, version control, and modern DevOps practices.
- Experience in media measurement, adtech, or digital advertising.
- Background in building ML systems that operate at large data scale and low-latency requirements.
Responsibilities
- Architect and lead development of advanced machine learning models, quality frameworks, and large-scale data validation systems that power VideoAmp’s measurement and optimization products.
- Design and optimize ML infrastructure, including scalable distributed pipelines, model lifecycle tooling, and automated validation frameworks.
- Lead experimentation strategies, including model benchmarking, reproducibility, evaluation methodologies, and statistical validation.
- Drive data quality standards across the organization by partnering with Data Engineering, Core Engineering, and Measurement Science teams.
- Own cross-functional initiatives end-to-end, from requirements definition through production deployment, monitoring, and iteration.
- Influence technical direction, contributing to architectural decisions, design reviews, and long-term platform strategy.
- Mentor and uplevel engineers, providing guidance on ML best practices, system design, data quality, and code excellence.
Other
- US Remote
- Strong communicator with the ability to translate complex technical concepts into clear, actionable insights.
- Demonstrated ability to lead cross-functional technical initiatives with minimal guidance.
- Prior experience influencing architecture and technical roadmap at an org-wide level.
- Passionate about creating quality, trusted solutions as part of a collaborative and dynamic organization.
