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nlp llms rag retrieval rankingπ Description
- Drive AI-native transformation of Roku's advertising ops, guiding roadmap and system design.
- Partner with stakeholders to translate needs into ML/AI solutions.
- Design and ship end-to-end ML systems for ranking, forecasting, and anomaly detection.
- Apply GenAI/LLMs to build RAG pipelines, prompts, eval frameworks, and guardrails.
- Translate business problems into production ML solutions with cross-team collaboration.
- Build evaluation loops and dashboards with SLOs tying ML to business outcomes.
π― Requirements
- Master's or PhD in CS/Math/Stats or equivalent.
- 8+ years hands-on engineering with ML/AI leadership.
- Strong ML/stat modeling: clustering, classification, regression, NN, SVMs.
- Production ML/AI systems: LLMs, RAG, embeddings, retrieval, multi-agent design.
- Experience training/deploying models for ranking, prediction, NLP.
- Demonstrated technical leadership; ads/marketplaces/e-commerce a plus.
π Benefits
- Health insurance.
- Equity awards.
- Life insurance.
- Disability benefits.
- Parental leave.
- Paid time off.
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