adaption

Engineer, ML Systems

adaption
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5 hours ago
Singapore, Singapore +2 moreMid Level / Senior

Responsibilities

  • Design and implement adaptable data strategies and efficient ML systems.
  • Develop and deploy adaptive machine-learning systems in real production environments.
  • Own implementation of data products and address novel challenges related to data, interaction, and evaluation.
  • Contribute to research direction and product vision while aligning technical work with high-level 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.
  • Previous exposure to observability tools such as OpenTelemetry, Docker, or Grafana.
  • Experience with online learning, reinforcement learning, or efficient ML architectures.
  • Excellent communication skills, ownership, curiosity, adaptability, and a 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 to explore a country never previously visited.
  • Weekly lunch stipend for take-out or grocery delivery.
  • Comprehensive medical benefits and generous paid time off.

Tech Stack

Categories

adaption

About adaption

1-10 employees

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, plus advisory support to turn findings into actionable plans. It serves organizations facing weather, regulatory, and supply-chain disruptions that need decision support for adaptation projects and investment planning.

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