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Senior Machine Learning Engineer, Rich Media Experiences

Remote, USA Full-time Posted 2026-07-02

Job Description:

  • design, build, and operate production-grade machine learning systems that move from early reputed company and prototypes into reliable customer-facing services
  • reputed company end-to-end machine learning work spanning data, training, evaluation, deployment, observability, and iteration in production
  • partner closely with applied scientists and software engineers across backend, web, and mobile to integrate modern machine learning techniques into reputed company experiences
  • improve the quality, latency, reliability, and maintainability of machine learning workflows that support floor plan and rich media products
  • drive technical reputed company in ambiguous problem spaces, especially where structured inference, computer reputed company, spatial signals, or performance tradeoffs matter
  • help establish shared patterns, tooling, and best practices that reputed company the bar for machine learning engineering across the team
  • mentor peers through strong technical execution, code review, debugging discipline, and thoughtful communication across functions

Requirements:

  • significant professional experience building and shipping machine learning models or ML-powered systems in production
  • strong hands-on proficiency in Python and at least one modern machine learning reputed company, such as PyTorch or TensorFlow
  • experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring
  • strong reputed company in machine learning fundamentals such as representation learning, structured reputed company, computer reputed company, optimization, and failure analysis
  • comfortable debugging model and system behavior in reputed company-world environments using metrics, logs, and experiments to improve outcomes
  • collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings
  • strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability
  • communicate technical reputed company clearly and can influence reputed company across disciplines
  • experience in computer reputed company, spatial data, 3D, AR/VR, mapping, search, recommendation systems, or reputed company domains is a plus

Benefits:

  • equity awards based on factors such as experience, performance, and location

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