2 hours ago
Singapore, Singapore +2 moreMid Level / Senior
Responsibilities
- Lead the development and deployment of efficient, adaptive machine learning systems in production environments.
- Own implementation of data products and solve novel challenges involving data, interaction, and evaluation.
- Help shape research direction and product vision in collaboration with the founding team.
- Close the loop from production signals to model retraining or fine-tuning.
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 artificial intelligence.
- Demonstrated experience connecting production signals to model retraining or fine-tuning.
- Experience with online learning, reinforcement learning, or efficient ML architectures.
- Strong software engineering skills and familiarity with Python.
- Exposure to observability tools such as OpenTelemetry, Docker, or Grafana.
- Strong communication skills and ability to align technical work with high-level goals.
Benefits
- Flexible work options including Bay Area in-person collaboration, a distributed global-first team, and team offsites.
- Annual travel stipend through the Adaption Passport.
- Weekly lunch stipend for take-out or grocery delivery.
- Comprehensive medical benefits and generous paid time off.
Categories
About 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, 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.