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Engineer, ML Systems

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Engineer, ML Systems in Others

  • adaption
  • Full time
  • Email
  • Singapore, Singapore

Responsibilities

  • Lead the development and deployment of efficient, adaptive machine learning systems in real production environments.
  • Own implementation of data products and solve novel challenges related to data, interaction, and evaluation.
  • Contribute to applied research direction and product vision while working directly with the founding team.
  • Align technical work with high-level organizational goals.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, or a related field.
  • 3–4 years of experience in machine learning, applied research, or systems-level engineering for AI.
  • Strong software engineering skills and familiarity with Python.
  • Prior exposure to observability tools such as OpenTelemetry, Docker, and Grafana.
  • Experience with online learning, reinforcement learning, or efficient ML architectures.
  • Excellent communication, ownership, curiosity, adaptability, and bias toward action.

Benefits

  • Flexible work with in-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
  • Annual Adaption Passport travel stipend for exploring a new country.
  • Weekly lunch stipend for take-out or grocery delivery.
  • Comprehensive medical benefits and generous paid time off.

adaption

Adaption builds business-intelligence tools and guidance for climate-risk adaptation, helping companies and communities assess exposure and plan resilience measures. The privately held firm offers a software platform that translates environmental and infrastructure data into strategic insights, p...

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