Senior Backend Engineer, Media Intelligence at Tatari

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds 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. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo.We are looking for a Senior Software Engineer to join Tatari. 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 team members, 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. Come help us build a television first programmatic buying experience!Responsibilities:Architect, productionize, and own machine learning models and analytics pipelines (Databricks, Spark, Delta Lake, MLflow) with automated training, inference, and monitoringBuild model observability end-to-end: inference logging, drift/data-quality monitoring, alerting, and dashboards; drive on-call readiness for ML-backed servicesShip ML-powered APIs in backend services (FastAPI), ensuring low-latency, reliable online and batch servingEvolve core optimization and decisioning algorithms and their explanations to improve accuracy, stability, and user trustPartner cross-functionally (Data Science, Data Platform, Product, and external integrations) to translate research into production features with clear SLAsMentor 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 pipelinesProven experience deploying and operating ML services, including inference logging, drift detection, monitoring/alerting (Databricks, Datadog), and incident responseFamiliarity with applied ML for prediction, recommendation, optimization, and explainability in data-rich, real-time environmentsExperience working across the organization delivering on large impact initiativesNice to have: Experience developing API frameworks (e.g. REST)Prompt engineering (prompt design, templating, RAG) and LLM evaluation frameworksExperience 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 compensationHealth insurance coverage for you and your dependents, with minimum contribution and buy-up plansUnlimited PTO and sick daysSnacks, drinks, and catered lunches at the officeTeam building events $1,000 annual continued education benefit$500 WFH reimbursement$150 Monthly work-related stipendFSA and commuter benefitsMonthly Company Wellness Day OffHybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITIONAt 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.#LI-HYBRID