- Home >
- Startup hiring data >
- Machine Learning Engineer salary in SaaS Startups 2026
Machine Learning Engineer salary in SaaS startups in 2026
How much does a Machine Learning Engineer expect to make in SaaS startups? The average expected salary for Machine Learning Engineers in SaaS startups is 160k per year, with a range from 75k to 267k. These amounts were gathered from Wellfound self-reported data and represent the median salary range. The salary range for Machine Learning Engineers in SaaS startup varies depending on factors such as location, experience, skills, and startup stage.
160.0k
Average Salary
3 years
Average years of experience
Salary
The average salary for a Machine Learning Engineer in SaaS startups is $160,000, which is 10.0% higher than the average salary of $145,417 in SaaS startups. Machine Learning Engineer salaries in SaaS are based on exclusive Wellfound data. All data is updated on a weekly basis. Factors that may influence salary include: location, years of experience, title, size of company, and skill-set.
Top of market
$244,583/yr
Range $160k - $267k
Average
$160,000/yr
Range $103k - $185k
Below Average
$119,167/yr
Range $75k - $150k
Top Locations
The highest average salary a Machine Learning Engineer in SaaS can get in London, that is $260,000. This pay is 62.5% higher than the average Machine Learning Engineer salary in SaaS startups, which is $160,000. Salaries will vary based on your location. The top-paying markets in the US, on average, are currently: London (avg $260,000 per year), Los Angeles (avg $170,000 per year), New York (avg $170,000 per year). Remote jobs often pay based on the location you reside in.
London
$260k
Los Angeles
$170k
New York
$170k
Boston
$160k
Chicago
$135k
Seattle
View SalariesToronto
View SalariesAustin
View SalariesIndustries
Use the filters above to discover compensation across companies similar to yours.
Tech Stack
The highest average salary a Machine Learning Engineer in SaaS can get with TypeScript, that is $202,000. This pay is 38.9% higher than the average salary in SaaS startups, which is $145,417. Salary range for specific skills will vary based on the supply and demand in the current market.
Top Tech Stacks
The top-paying Machine Learning Engineer skills in SaaS startups of 2026 are:
1. TypeScript
$202k
2. Docker
$197k
3. Flask
$197k
4. C++
$192k
5. Websockets
$190k
6. C
$185k
7. Numpy
$185k
8. SQL
$172k
9. GraphQL
$170k
10. OpenCV
$160k
Years of experience
Below Average
Average
Top of Market
The highest average salary a Machine Learning Engineer in SaaS can get with 10+ years of experience, that is $107,000. This pay is 26.4% lower than the average salary in SaaS startups, which is $145,417. The salary range varies with years of experience and depends on other factors such as skill set, size of company, and industry.
Popular roles
Software EngineerMobile DeveloperAndroid DeveloperiOS DeveloperFrontend EngineerBackend EngineerFull-Stack EngineerSoftware ArchitectMachine Learning EngineerEmbedded EngineerData EngineerDevOpsEngineering ManagerQA EngineerData ScientistDesignerUI/UX DesignerUser ResearcherVisual DesignerCreative DirectorGraphic Designer Product DesignerProduct ManagerOperationsFinance/AccountingH.R.Office ManagerRecruiterCustomer ServiceOperations ManagerSalesBusiness DevelopmentSales Development RepresentativeAccount ExecutiveBD ManagerAccount ManagerSales ManagerCustomer Success ManagerMarketingGrowth HackerMarketing ManagerContent CreatorCopywriterSocial Media ManagerManagementCEOCFOCMOCOOCTOOther EngineeringHardware EngineerMechanical EngineerSystems EngineerOtherBusiness AnalystProject ManagerAttorneyData AnalystInvestorLimited PartnerStrategic InvestorInstitutional InvestorVenture DebtVCSeed FundIndividual InvestorAngelFounder
Popular skills
Tech Hubs for Machine Learning Engineer
Industries for Machine Learning Engineer
Blockchain / CryptocurrencyFin TechBig DataFashionManufacturingMarketplacesSmall and Medium BusinessesAdvertisingHealth and WellnessMobile ApplicationArtificial IntelligenceSales and MarketingFinancial ServicesDigital MediaWeb DevelopmentSoftwareTechnologySocial MediaB2BSaaSE-CommerceClean TechnologyHealthcareEnterprise SoftwareMobile