$198,750
median · per year, annualized USD
$200,000
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)
Quant Strategist
Quantitative Intelligence Analyst
2027 Internship - Quant Research (Undergrad)
Quantitative Research Analyst - Jersey City, NJ
Campus Quantitative Trader (Full-Time)
Summer Intern 2027 - Quantitative Trader
Campus Full Time 2027 - Quantitative Trader
Algorithm Developer (Quant Research & Trading) – 2027 Grads
Algorithm Developer (Quant Research & Trading) – 2027 PhDs
Software Engineer, Macro Quant Analytics Technology
| Company | Median | Roles |
|---|---|---|
Hudson River Trading
|
$300,000 | 3 |
Stevens Capital Management LP
|
$225,000 | 3 |
Man Group
|
$160,000 | 3 |
Jump Trading
|
$300,000 | 2 |
Five Rings LLC - Careers
|
$300,000 | 2 |
IMC
|
$250,000 | 2 |
Virtu Financial
|
$227,900 | 2 |
Graham Capital Management, L.P.
|
$225,000 | 2 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $250,000 | 7 |
| New York | $197,500 | 3 |
The median for Prompt Engineer is $198,750 per year (typically $180,000–$243,238), versus $200,000 for Quantitative Analyst ($150,000–$237,500). That puts Quantitative Analyst about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Prompt Engineer and Quantitative Analyst 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.