Senior ML Platform Engineer — Remote Fire-Safety Tech

Whisker Labs; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary + equity

Health, dental, and vision insurance

401(k) with match

Job summary

Whisker Labs is looking for a Senior ML Platform Engineer to join their fully remote Data Science team. This position involves developing algorithms for detecting early warning signs of electrical fires, ensuring safety and reliability. Candidates should have 8+ years of data analysis experience and fluency in Python.

The role offers a dynamic work environment with competitive salary and benefits including health insurance and a 401(k) match.

Qualifications

• 8+ years of combined education and experience in large-scale data.
• Expert-level fluency in Python.
• Independent, self-learner, and excellent problem solver.

Responsibilities

• Drive architectural improvements to ML training frameworks.
• Adapt fire hazard detection algorithms for different environments.
• Build scalable data pipelines for high-frequency sensor data.
• Develop dashboards to monitor models and performance.
• Collaborate across teams to conceptualize improvements.

Skills

Python

Large-scale data analysis

Linux-based development

Problem solving

Remote working

Education

Degree in Mathematics, Science, or Engineering

Tools

Cloud ecosystems (AWS preferred)

ML pipelines

Job description

Whisker Labs is looking for a Senior ML Platform Engineer to join their fully remote Data Science team. This position involves developing algorithms for detecting early warning signs of electrical fires, ensuring safety and reliability. Candidates should have 8+ years of data analysis experience and fluency in Python.

The role offers a dynamic work environment with competitive salary and benefits including health insurance and a 401(k) match.