Senior ML Platform Engineer
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Job Description
Senior ML Platform Engineer at Whisker Labs responsible for developing fire detection algorithms and tools for smart home technology. Work remotely to prevent electrical fires and enhance community safety.
Responsibilities:
- Drive architectural improvements to our internal ML training frameworks, including modularization and experiment tracking
- Adapt and optimize existing fire hazard detection algorithms for new electrical environments and grid configurations
- Build and maintain scalable data pipelines that process high-frequency sensor data and feed downstream systems
- Develop dashboards and automated tooling to monitor models, identify drift, and own processes to ensure models continue to meet their performance expectations
- Maintain a deep understanding of our stack, and collaborate across data science, product, and fire safety leadership to conceptualize and deliver improvements
Requirements:
- A degree in Mathematics, Science, or an Engineering Field
- 8+ years of combined education and experience working with large-scale data analysis/processing
- Expert-level fluency in Python
- Experience with a Linux-based development workflow (e.g., git, SSH, Make, shell scripting)
- Ability to work effectively in a fully remote, fast-paced environment
- Independent, self-learner, excellent problem solver
Benefits:
- Competitive salary + equity
- Health, dental, and vision insurance
- 401(k) with match
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