$198,750
median · per year, annualized USD
$190,000
median · per year, annualized USD
Machine Learning Engineer, Speech LLM Training - San Francisco
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Machine Learning Engineer, Model Evaluations (Speech LLM) - San Francisco
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Machine Learning Engineer, LLM Evals & Observability
Machine Learning Engineer, LLM Evals & Observability
Principal LLM Inference Engineer
Staff Attack Engineer, AI/LLM
Staff ML/LLM Ops Engineer
Software Engineer, Artificial Intelligence/LLM (Multiple Seniority Levels)
Technical Program Manager
Technical Program Manager
Technical Program Manager, Architecture
Staff Technical Program Manager, Physical Design
Technical Program Manager, Product Software
Director, RISC-V Software TPM & Ops
Technical Program Manager, Strategic Initiatives
Technical Program Manager, Hardware Chips Development
Technical Program Manager, Applied API & Product
Technical Program Manager, API Platform
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$193,000 | 62 |
Anthropic
|
$345,000 | 14 |
Aurora Innovation
|
$221,500 | 14 |
OpenAI
|
$271,000 | 12 |
Fluidstack
|
$213,000 | 12 |
| SA Scale AI | $217,350 | 10 |
Scout Motors
|
$155,000 | 10 |
CoreWeave
|
$207,000 | 9 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $250,000 | 7 |
| New York | $197,500 | 3 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $215,000 | 125 |
| Austin | $213,000 | 15 |
| London | $209,051 | 5 |
| New York | $203,000 | 85 |
| Seattle | $203,000 | 50 |
| Denver | $173,568 | 10 |
| Boston | $172,500 | 27 |
| Los Angeles | $164,500 | 10 |
| Chicago | $147,500 | 3 |
| Toronto | $130,000 | 13 |
The median for Prompt Engineer is $198,750 per year (typically $180,000–$243,238), versus $190,000 for Technical Product Manager ($155,000–$220,000). That puts Prompt Engineer about 5% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Prompt Engineer and Technical Product Manager 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.