Tatari
Senior Backend Engineer, Media Intelligence
Tatari, Los Angeles, California, United States, 90079
Senior Backend Engineer, Media Intelligence
Join to apply for the
Senior Backend Engineer, Media Intelligence
role at
Tatari .
Tatari is on a mission to revolutionize TV advertising. We work with a variety of brands—including Calm, Vuori, Rocket Money, and many more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Named one of the 16 Hottest Ad Tech Companies by Business Insider and selected as a Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth.
We are looking for a Senior Software Engineer to join our team. As a Senior Engineer, you will play a leading role in the evolution and scaling of our platform. You’ll contribute to system architecture decisions, mentor junior teammates, promote best practices, and ship high‑quality code to production daily. At Tatari you are empowered to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings.
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).
Qualifications
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 (REST).
Prompt engineering (prompt design, templating, RAG) and LLM evaluation frameworks.
Experience enhancing development processes by leveraging agentic coding tools while maintaining a high bar for quality (e.g., Cursor).
Benefits
Total compensation ($170,000 - $195,000/annually)
Equity compensation
Health insurance coverage for you and your dependents, with minimum contribution and buy‑up plans
Unlimited PTO and sick days
Snacks, drinks, and catered lunches at the office
Team building events
$1,000 annual continued education benefit
$500 WFH reimbursement
$150 Monthly work‑related stipend
FSA and commuter benefits
Monthly Company Wellness Day Off
Hybrid RTO of 2 days per week (THIS IS AN IN‑OFFICE POSITION)
At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
#J-18808-Ljbffr
Senior Backend Engineer, Media Intelligence
role at
Tatari .
Tatari is on a mission to revolutionize TV advertising. We work with a variety of brands—including Calm, Vuori, Rocket Money, and many more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Named one of the 16 Hottest Ad Tech Companies by Business Insider and selected as a Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth.
We are looking for a Senior Software Engineer to join our team. As a Senior Engineer, you will play a leading role in the evolution and scaling of our platform. You’ll contribute to system architecture decisions, mentor junior teammates, promote best practices, and ship high‑quality code to production daily. At Tatari you are empowered to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings.
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).
Qualifications
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 (REST).
Prompt engineering (prompt design, templating, RAG) and LLM evaluation frameworks.
Experience enhancing development processes by leveraging agentic coding tools while maintaining a high bar for quality (e.g., Cursor).
Benefits
Total compensation ($170,000 - $195,000/annually)
Equity compensation
Health insurance coverage for you and your dependents, with minimum contribution and buy‑up plans
Unlimited PTO and sick days
Snacks, drinks, and catered lunches at the office
Team building events
$1,000 annual continued education benefit
$500 WFH reimbursement
$150 Monthly work‑related stipend
FSA and commuter benefits
Monthly Company Wellness Day Off
Hybrid RTO of 2 days per week (THIS IS AN IN‑OFFICE POSITION)
At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
#J-18808-Ljbffr