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.
Python, Spark, SQL (Snowflake strongly preferred)
DockerAirflowCI/CD frameworks
- 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 (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.
- 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.
- 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 org-wide level.
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.
- 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
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
Top Skills
What We Do
We believe every human on the planet should have the option of free access to the world’s information and content. In many cases this belief is powered by a three way value exchange between a publisher producing free content, a consumer consuming it and an advertiser paying the publisher for the chance to connect with its audience.
The underpinning of this value exchange relies on having an independent auditing, measurement and optimization layer to power the transaction between the advertiser and publisher.
Today the industry standard tools for advertising and media measurement and optimization are usually designed where increased personalization, higher advertising return on investment and increased publisher revenues often comes with negative trade off for consumer privacy or security risks of leaking private data. We envision a world where this doesn't have to be the case - a world where consumer privacy, security, and governance are incorporated into the fabric of the codebase while enabling the necessary business use-cases to effectively keep the world’s information and content free for everyone.
VideoAmp’s mission is to create software and data solutions to enable advertisers to accurately measure and optimize their entire portfolio of linear TV, OTT, digital and walled garden investments while empowering publishers to effectively align and monetize their audiences with the advertiser’s desired outcome in a consumer-first privacy paradigm.
Why Work With Us
These are our values. Working here you can expect the following:
Unlimited paid time off each year
Company-sponsored health, dental and vision benefits for you and your dependents
Pet Insurance Savings
Work from home set up provided
401k Plan
A progressive approach to paid parental leave
Partner with DoorDash to provide a DashPass
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