Note: The job is a remote job and is open to candidates in USA. Whisker Labs is on a mission to save lives and property through innovative smart home technology and fire prevention solutions. They are seeking a Senior ML Platform Engineer to enhance their technology for detecting early signs of electrical fires, focusing on developing algorithms and tools to support their fire safety team.
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
Skills
- 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
- Advanced degree in Computer Science, Electrical Engineering, Data Science, Data Engineering, Machine Learning, or a similar academic field
- Experience with a data-driven technology stack; building and maintaining ML pipelines, frameworks, or libraries
- Experience with cloud ecosystems (AWS preferred) and containerized services
Benefits
- Competitive salary + equity
- The ability to make, own, and carry out decisions
- Health, dental, and vision insurance
- 401(k) with match
Company Overview
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