Median salary
$165,000
median over time
Typical range
$115k – $215k
25th–75th percentile
Disclosing pay
15.3%
9,331 of 61,167 roles
Live roles
61,167
open right now
Machine Learning Engineer - Fraud Risk
Research Engineer / Research Scientist, Pre-training
Research Engineer/Research Scientist, Pre-training
Research Lead, Training Insights
Performance Engineer, GPU
Staff Research Engineer, Discovery Team
Engineering Manager, GPU (ML Accelerator)
Research Engineer, Performance RL
| Company | Median | Roles |
|---|---|---|
Esri
|
$129,740 | 303 |
Relativity Space
|
$156,750 | 241 |
Remote
|
$86,550 | 229 |
| AX Axon | $170,625 | 222 |
Anduril Industries
|
$191,500 | 215 |
Datadog
|
$173,500 | 181 |
Revolution Medicines
|
$237,500 | 180 |
Anthropic
|
$345,000 | 174 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $221,720 | 1,703 |
| Seattle | $194,750 | 355 |
| New York | $190,000 | 1,747 |
| Boston | $173,750 | 375 |
| Austin | $160,000 | 153 |
| Singapore | $157,803 | 18 |
| Los Angeles | $150,000 | 102 |
| Chicago | $148,500 | 337 |
| Sydney | $147,458 | 12 |
| London | $141,236 | 214 |
See every Learning & Development role
Browse the live listings, or save this search and get alerted the moment a new one posts.
The median salary for Learning & Development roles is $165,000 per year. Most pay falls between $115,000 (25th percentile) and $215,000 (75th percentile), with the broader 10th–90th percentile band running from $77,500 to $265,000.
These figures are computed live from 61,167 active Learning & Development roles on JobsRadar, of which 9,331 (15.3%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid Learning & Development roles include Rain and Anthropic.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.