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Job Overview

As a Senior Machine Learning Engineer (L5) you will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and modeling to production serving and online A/B experimentation.

Key points

  1. Design intelligent notification orchestration, candidate ranking, and targeting systems that match users with timely, high-value alerts while avoiding fatigue and improving user experience.

  2. Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized financial content.

  3. Architect resilient, low-latency model serving services and real-time feature pipelines, eliminating technical debt, leading incident response, and raising our operational reliability bar.

  4. Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers…

  5. Proven track record in one or more relevant domains: recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications.

  6. Strong software engineering and data skills in a backend language like Python or Go, with hands-on proficiency in modern ML and data stacks (such…

  7. Deep practical knowledge of offline model evaluation, training-serving skew mitigation, and design/interpretation of online A/B experiments tied to business metrics.

  8. Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers.

Skills

P77866#LI-RemoteMachine LearningLLMsRoadmappingPythonGenerative AIPyTorch

Experience: Senior-level · 5+ years

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