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VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday. We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values. People who say “I’ll find a way” instead of saying “it can’t be done.” Our engineers are passionate about creating quality, trusted solutions as part of a collaborative and dynamic organization. The successful candidate will be a detailed-oriented self-starter with a passion for growth and a high standard for their work. At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising.
Job Responsibility:
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
Communicate complex findings, insights, and recommendations to technical and non-technical stakeholders
Requirements:
7+ years of experience in Machine Learning Engineering, Data Engineering, or a similar technical role
Expert-level proficiency in Python, ML frameworks, Temporal, and distributed data processing (Spark, Hive)
Experience with making models reproduceable as needed
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
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
Nice to have:
Experience in media measurement, adtech, or digital advertising
Experience with tools like ML Flow, W&B
Experience with event driven architecture a big plus
Background in building ML systems that operate at large data scale and low-latency requirements
Strong experience with statistical modeling, anomaly detection, or ML-based data quality frameworks
Prior experience influencing architecture and technical roadmap at an org-wide level
What we offer:
Discretionary and flexible paid time off
In addition to standard US holidays off, VideoAmp employees also partake in Spring, Summer and Winter breaks
Comprehensive medical, dental, and vision benefits for you and your dependents—including multiple options fully covered by VideoAmp
Unlimited financial wellness sessions with Origin financial advisors
401k Plan with matching
HSA & FSA
Commuter Benefits
Cell Phone Reimbursement
Paid Maternity and Parental Leave for All Family Additions