How much do remote employees at Canopy make?
The average remote employee at Canopy can expect to earn between $76k and $180k, with a median base pay of $108k. Additional pay could include bonus, stock, commission, profit sharing, tips, and employee benefits.
The highest-paying remote job at Canopy is a Staff Engineer, Machine Learning Operations (MLOps), which earns earns a base salary of $129k to $180k per year.
The lowest-paying job at Canopy is a Technical Program Manager, which earns a base salary of $76k to $106k per year.
Average salary range by job title
Salary range estimations are based on Canopy's remote job openings posted on Himalayas and may not be represent the actual salaries offered by Canopy in your region. Salary ranges vary depending on the remote employee's experience level, location, and other factors.
Salary ranges by position
| Job title | Salary range | Countries |
|---|---|---|
| Data Analyst | $79k - $111k |  United States |
| Machine Learning Engineer | $77k - $109k | United States |
| Platform Engineer, DevEx & SRE | $79k - $111k | United States |
| Senior Data Governance & Compliance Engineer | $98k - $137k | United States |
| Senior Embedded Engineer Software | $98k - $138k | United States |
| Senior Machine Learning Engineer | $98k - $138k | United States |
| Software Quality Engineer | $79k - $111k | United States |
| Staff Engineer, Machine Learning Operations (MLOps) | $129k - $180k | United States |
| Technical Program Manager | $76k - $106k | United States |
