Principal Machine Learning Engineer

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.

Role & Responsibilities

Location : US Remote or Los Angeles, CA (Hybrid) - Preferred

As a Principal Machine Learning Engineer , you will play a critical role in shaping the next generation of VideoAmp’s data and measurement products. You will architect large-scale ML systems, elevate data quality across the organization, and lead complex initiatives that improve the accuracy, reliability, and performance of our datasets and ML pipelines. This role requires deep technical expertise, strong cross-functional influence, and the ability to drive alignment across engineering, data science, and product teams.

• 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.

Technology We Use

Python, Spark, SQL (Snowflake strongly preferred)

DockerAirflowCI / CD frameworks

Qualifications

Additional Preferred Qualifications

What We Offer

This position pays between $184,000 - $215,000 + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.

We are on a collective mission to bring equity and transparency into media measurement, and that begins with an honest, inclusive culture. At VideoAmp, we empower our team to thrive through collaboration, mentorship, and innovation. If you’re passionate about technical revenue accounting, SaaS transformation, and AdTech innovation, we’d love to hear from you.

Above all, if you’re eager to influence and support the revolutionary goals of a dynamic, cross-functional team—join us and make an impact!

#LI-Hybrid