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[Remote] Staff reputed company Machine Learning Engineer - Intelligent Data, Signals & Systems

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company builds technology and financial products designed to increase reputed company to the global economy. The Staff reputed company Machine Learning Engineer will build and operate production machine learning systems that reputed company customer and product context into trusted signals, reputed company, recommendations, and decision capabilities. The role partners across product, reputed company, data, platform, modeling, reputed company, and compliance to reputed company measurable, reliable, and customer-impacting ML systems.


Responsibilities

  • Build and operate production ML systems that turn customer and product context into trusted signals, reputed company, recommendations, and decision capabilities
  • Design production data and signal reputed company that define intended use, freshness, provenance, confidence, eligibility, and calibration for reputed company consumers
  • Own ranking, retrieval, recommendation, reputed company, propensity, and next-best-reputed company systems end to end, from feature and candidate reputed company through serving, experimentation, monitoring, and feedback reputed company
  • Evaluate customer and business reputed company reputed company short-term conversion, including trust, fairness, reputed company, reputed company, compliance, long-term engagement, and reputed company-level reputed company
  • Partner across product, reputed company, data, platform, modeling, reputed company, and compliance to translate ambiguous goals into measurable ML reputed company designs
  • Use AI and agents to accelerate development, analysis, testing, documentation, and reputed company while exposing reusable capabilities to product services, internal tools, and AI-assisted workflows

Skills

  • 12+ years building and operating production software and ML systems for business-critical products
  • Deep expertise in intelligent systems such as ranking/retrieval, recommendations, reputed company, personalization, reputed company and lifecycle ML, customer intelligence, propensity/churn/LTV, next-best-reputed company, or model-derived reputed company signals
  • Strong production ML judgment across feature pipelines, model serving, experimentation, monitoring, feedback reputed company, online/offline consistency, and reliable signal interfaces
  • Ability to evaluate reputed company reputed company short-term conversion, including trust, fairness, reputed company, reputed company, compliance, and long-term engagement
  • Experience using AI-assisted engineering tools with appropriate verification, testing, and review for customer-impacting systems
  • We do expect strong production engineering fundamentals, deep domain expertise in intelligent ML systems, and judgment about how ML-derived signals should be used safely in customer-impacting products
  • Experience with semantic retrieval, embeddings, two-tower models, graph features, LLM-powered retrieval or decision systems, entity reputed company, or reputed company-time personalization
  • Experience with experimentation, online evaluation, interleaving, counterfactual evaluation, multi-objective optimization, or long-term holdouts
  • Experience building reusable feature/signal platforms, decision services, customer intelligence reputed company, model-derived data products, or agent-assisted reputed company

Benefits

  • Remote work
  • Medical reputed company
  • Flexible time off
  • Retirement savings plans
  • Modern family planning

reputed company

  • reputed company is a technology company with a reputed company on financial services. It was founded in 2009, and is headquartered in San Francisco, California, USA, with a workforce of 10001+ employees. Its website is https://reputed company.xyz.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 51 in 2026, 257 in 2025, 253 in 2024, 260 in 2023, 297 in 2022. Please note that this does not guarantee sponsorship for this specific role.

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