Senior AI Data Engineer

VideoAmp Careers Website

2h•$150,000 - $170,000•Remote

About The Position

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.” 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 VideoAmp is seeking a Senior AI Data Engineer to join our Linear Data Processing (LDP) team. This role focuses on building production-grade AI and LLM-powered systems directly into large-scale data pipelines that support audience measurement, currency, identity, and metadata workflows across linear and digital media. You will apply LLMs and classical ML to real-world linear TV problems: network-specific schedules, hourly viewership logs, program metadata, and commercial schedules that vary widely by partner, format, and quality.

Requirements

4+ years of experience in AI/ML engineering, applied ML systems, or data engineering
Demonstrated experience shipping LLM-powered systems into production
Strong understanding of:
Prompt engineering and evaluation frameworks
Embeddings and similarity search on structured and semi-structured data
Hybrid AI systems that combine LLMs with deterministic logic
Proficiency in Python and SQL; strong software engineering fundamentals
Experience working with large-scale data platforms and distributed systems
Ability to design AI systems that meet measurement-grade reliability, explainability, and auditability requirements

Nice To Haves

Experience working with TV schedules, viewership logs, or advertising metadata
Familiarity with linear TV measurement or media data pipelines
Experience applying AI in compliance-sensitive or customer-facing measurement systems
Knowledge of MLOps / LLMOps best practices

Responsibilities

Design and operate AI- and LLM-enabled data pipelines processing billions of linear and digital records
Build and productionize LLM-driven systems for concrete LDP problems, including:
Network & Program Schedules
Normalize network-specific program schedules with inconsistent naming, time boundaries, and formatting
Infer program identity, episode, and season from sparse or ambiguous schedule metadata
Detect and reconcile schedule discrepancies across multiple upstream providers
Hourly Viewership Logs
Interpret and normalize hourly (and sub-hourly) viewership logs with varying schemas and aggregation rules
Use LLMs to assist with schema inference, validation, and semantic consistency checks
Generate structured explanations for anomalous spikes, drops, or gaps in viewership data
Commercial & Ad Spot Metadata
Enrich and classify commercial schedules and ad spot metadata, including creative names, durations, and placements
Resolve inconsistencies between planned schedules and aired spots
Support automated deduplication and alignment of ad spots across networks and feeds
Combine LLMs with rules, heuristics, and ML models to ensure deterministic, auditable outcomes
Own the end-to-end AI lifecycle, including:
Prompt design and evaluation
Feature engineering and training pipelines
Deployment, monitoring, drift detection, and retraining
Integrate LLMs responsibly into batch and event-driven LDP workflows, balancing accuracy, latency, and cost
Build human-in-the-loop workflows for high-impact or low-confidence cases
Collaborate closely with Measurement, Identity, Library, and Product teams to translate ambiguous data issues into scalable AI solutions
Provide technical leadership through design reviews, mentorship, and architectural guidance

Benefits

This position pays between $150,000 - $170,000 + 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