Side-by-side distribution
MLOps
$187,500
median · per year, annualized USD
- Disclosing
- 18.8%
- Live roles
- 128
Rust
$190,000
median · per year, annualized USD
- Disclosing
- 25.2%
- Live roles
- 123
Highest-paying jobs
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Sr. Machine Learning Ops Engineer
DoD MLOps Software Engineer
Sr. Machine Learning Ops Engineer
Highest-paying jobs
Software Engineer - Platform Infrastructure (Rust, C++)
Staff Rust SDK Engineer
Founding Rust Engineer
Software Engineer 3 - Linux/Bash/Python/Rust/NoSQL/Docker/Kubernetes/Helm
Software Engineer (Backend Rust)
Senior Software Engineer (Backend Rust)
Software Engineer, Rust, Agent Runtime
Principal Rust Developer
Principal Rust Developer
New Grad Software Engineer (Backend Rust)
Top companies hiring
| Company | Median | Roles |
|---|---|---|
|
Garner Health
|
$297,500 | 2 |
|
Torc Robotics
|
$249,000 | 2 |
|
Quanata
|
$256,500 | 1 |
|
Roku
|
$254,875 | 1 |
|
LVT
|
$242,650 | 1 |
|
Hayden AI
|
$230,000 | 1 |
Instacart
|
$212,750 | 1 |
|
Cimgroup
|
$200,000 | 1 |
Top companies hiring
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$193,000 | 3 |
|
N1
|
$190,000 | 3 |
|
Zscaler
|
$221,000 | 2 |
Certik
|
$141,000 | 2 |
Blockhouse
|
$85,500 | 2 |
|
xAI
|
$310,000 | 1 |
|
Twin Labs
|
$261,899 | 1 |
|
LiveKit
|
$250,000 | 1 |
Rust salary by location
| Location | Median | Roles |
|---|---|---|
| New York | $190,000 | 6 |
| San Francisco | $190,000 | 5 |
| Toronto | $127,500 | 3 |
MLOps vs Rust: which pays more?
The median for MLOps is $187,500 per year (typically $147,500–$236,325), versus $190,000 for Rust ($155,000–$204,500). That puts Rust about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so MLOps and Rust are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.