Senior ML Platform Engineer
New
W
Whisker LabsSmart Home Technology
United StatesFull-TimeSenior
SalaryCompetitive salary + equity
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Job Details
- Experience
- 8+ years of combined education and experience working with large-scale data analysis/processing
- Required Skills
- AWSPythonGitMachine LearningLinux
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
- Advanced degree in Computer Science, Electrical Engineering, Data Science, Data Engineering, Machine Learning, or a similar academic field (preferred)
- Experience with a data-driven technology stack; building and maintaining ML pipelines, frameworks, or libraries (preferred)
- Experience with cloud ecosystems (AWS preferred) and containerized services (preferred)
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
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