Senior Backend Engineer, Media Intelligence at Tatari

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Ad Tech, Media Intelligence, TV AdvertisingIndustries

Requirements

6+ years Python
2+ years building production ML/data systems at scale (using tools like: Spark/Databricks, Delta Lake, MLflow, Airflow)
Deep SQL and data modeling; experience designing feature stores, schemas, and analytics/ML pipelines
Proven experience deploying and operating ML services, including inference logging, drift detection, monitoring/alerting (Databricks, Datadog), and incident response
Familiarity with applied ML for prediction, recommendation, optimization, and explainability in data-rich, real-time environments
Experience working across the organization delivering on large impact initiatives
Nice to have: Experience developing API frameworks (e.g. REST)
Nice to have: Prompt engineering (prompt design, templating, RAG) and LLM evaluation frameworks
Nice to have: Experience enhancing development processes by leveraging agentic coding tools while maintaining a high bar for quality (e.g. Cursor)

Responsibilities

Architect, productionize, and own machine learning models and analytics pipelines (Databricks, Spark, Delta Lake, MLflow) with automated training, inference, and monitoring
Build model observability end-to-end: inference logging, drift/data-quality monitoring, alerting, and dashboards; drive on-call readiness for ML-backed services
Ship ML-powered APIs in backend services (FastAPI), ensuring low-latency, reliable online and batch serving
Evolve core optimization and decisioning algorithms and their explanations to improve accuracy, stability, and user trust
Partner cross-functionally (Data Science, Data Platform, Product, and external integrations) to translate research into production features with clear SLAs
Mentor peers in MLOps best practices (templates, CI/CD, Databricks Connect)

Skills

Key technologies and capabilities for this role

DatabricksSparkDelta LakeMLflowFastAPIMachine LearningAnalytics PipelinesModel ObservabilityInference LoggingDrift MonitoringData QualityAPIsOptimization Algorithms

Questions & Answers

Common questions about this position

What experience level is required for this Senior Backend Engineer role?

The role requires 6+ years of Python experience and 2+ years building production ML/data systems at scale using tools like Spark/Databricks, Delta Lake, MLflow, and Airflow.

What key technical skills are needed for this position?

Candidates need deep SQL and data modeling skills, proven experience deploying and operating ML services with monitoring and alerting, plus familiarity with applied ML for prediction, recommendation, optimization, and explainability.

What is the work environment like at Tatari?

Tatari offers an empowering environment to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Senior Engineer role?

A strong candidate has experience working across the organization on large impact initiatives, plus nice-to-have skills like API frameworks, prompt engineering, LLM evaluation, and cross-functional collaboration.

Tatari

Data-driven platform for TV advertising optimization

About Tatari

Tatari provides a platform that allows businesses to buy, measure, and optimize their TV advertising campaigns, making the process similar to digital advertising. The platform uses advanced analytics to deliver real-time data, helping clients make informed decisions about their advertising strategies. This enables them to identify the best networks and programs to reach their target audiences effectively. Unlike traditional TV advertising methods, Tatari's approach focuses on data-driven insights and performance measurement, allowing for flexible management of campaigns. The company's goal is to transform the TV advertising landscape by making it as measurable and manageable as digital ads, ultimately improving clients' advertising performance and return on investment.

San Francisco, CaliforniaHeadquarters

2016Year Founded

CONVERTIBLECompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees