
501 - 1000 employees
👥 B2C
🛍️ eCommerce
🧘 Wellness
💰 $31M Private Equity Round on 2019-12
B2C • eCommerce • Wellness
Whisker is a company that revolutionizes pet care with its innovative products, primarily focused on making life easier for cat parents. Founded by Brad Baxter, Whisker offers products like the Litter-Robot, a self-cleaning litter box, and the Feeder-Robot, all aimed at reducing daily pet care chores. With over 20 years of experience and a team of over 500 employees, Whisker continues to lead in the realm of connected pet care, bringing advanced pet care solutions to over a million customers worldwide. The company leverages technology to create products that enhance the well-being of both pets and their owners, supported by a mobile app providing helpful insights. Whisker's dedication to innovation is evidenced by their 65+ global patents, all while maintaining American design, assembly, and service for quality assurance.
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501 - 1000 employees
👥 B2C
🛍️ eCommerce
🧘 Wellness
💰 $31M Private Equity Round on 2019-12
B2C • eCommerce • Wellness
Whisker is a company that revolutionizes pet care with its innovative products, primarily focused on making life easier for cat parents. Founded by Brad Baxter, Whisker offers products like the Litter-Robot, a self-cleaning litter box, and the Feeder-Robot, all aimed at reducing daily pet care chores. With over 20 years of experience and a team of over 500 employees, Whisker continues to lead in the realm of connected pet care, bringing advanced pet care solutions to over a million customers worldwide. The company leverages technology to create products that enhance the well-being of both pets and their owners, supported by a mobile app providing helpful insights. Whisker's dedication to innovation is evidenced by their 65+ global patents, all while maintaining American design, assembly, and service for quality assurance.
• 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
• 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
• Competitive salary + equity • Health, dental, and vision insurance • 401(k) with match
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