Principal Data Engineer

Position Overview

VideoAmp is on a mission to create the best employee and workplace experience, where people can bring their whole self to work every day. Our engineers are driven, passionate, and dedicated to designing quality, trusted solutions. As a Principal ML/Data Engineer working from US Remote, you will play a critical role in architecting large-scale machine learning systems, elevating data quality, and leading cross-functional initiatives that transform our data and measurement products.

Key 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 by 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 and recommendations to both technical and non-technical stakeholders.

Required Qualifications

• 7+ years of experience in Machine Learning Engineering, Data Engineering, or a similar technical role.
• Expert-level proficiency in Python, ML frameworks, and distributed data processing (e.g., Spark, Hive).
• Deep understanding of data quality methodologies, fault-tolerant data systems, and validation frameworks.
• Strong experience in designing and scaling ML infrastructure, automated pipelines, and production-grade deployment workflows.
• Hands-on experience with cloud-native architectures, preferably on AWS.
• Expertise with CI/CD, version control, and modern DevOps practices.
• Excellent communication skills with the ability to translate complex technical concepts into actionable insights.
• Proven ability to lead cross-functional technical initiatives independently.

Preferred Qualifications

• Experience in media measurement, adtech, or digital advertising.
• 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 organization-wide level.

Benefits & Perks

• Compensation: $184,000 - $215,000 + Equity + Benefits (final offer based on qualifications, skills, and experience).
• Discretionary and flexible paid time off.
• Spring, Summer, and Winter breaks in addition to standard US holidays.
• Comprehensive medical, dental, and vision benefits for you and your dependents (with multiple fully covered options).
• Unlimited financial wellness sessions with Origin financial advisors.
• 401k Plan with matching.
• HSA & FSA.
• Commuter Benefits and Cell Phone Reimbursement.
• Paid Maternity and Parental Leave for all family additions.