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ML Engineer

Alloy· Engineering
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Sydney, AustraliaFull-timePosted 1mo ago

About the role

ML Engineer role at Alloy Robotics focusing on the AI layer learning loop, evaluations, retrieval over fleet data, and cost-efficient inference. Applied ML position with weekly shipped outputs, not a research seat.

Responsibilities

  • Build the evaluation systems for quality, speed, and cost
  • Make retrieval over fleet data state of the art
  • Drive inference cost down: routing, caching, distillation
  • Train task-specific models where APIs fall short
  • Turn cross-fleet usage into datasets and detectors that improve with scale

Qualifications

  • 3+ years in applied ML
  • Real LLM-systems experience: evals, retrieval, fine-tuning
  • Python that ships product, not notebooks
  • A pragmatic, measurement-driven style

Skills

Required:Applied machine learningLLM systemsPythonData retrieval
Nice to have:Cost optimizationTime-series / sensor data

Benefits

  • equity (potential)
  • flexible working arrangements
  • competitive salary
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Alloy

Robotics Data Platform | Alloy

The command center for your robotics data. Alloy unifies images, time-series, and logs into a single, searchable platform. Unlock unprecedented levels of observability and data accessibility.

roboticsdata platformimagestime-serieslogsobservabilitydata accessibility
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