Senior Machine Learning Engineer H-1B salary at Maplebear — 46 certified filings (FY2019–FY2026)

12
Filings · FY2025
$215k
Median base · FY2025
$200k–$230k
Middle 50% · FY2025
+8%
vs market median · all years

Maplebear filed 12 certified H-1B LCAs for Senior Machine Learning Engineer in FY2025, with a median base salary of $215k and the middle 50% of offers between $200k and $230k. Across all years its $195k median is 8% above the $180k market median for Senior Machine Learning Engineer. It has filed 46 Senior Machine Learning Engineer LCAs since FY2019, most often in San Francisco, CA.

How much does Maplebear pay a Senior Machine Learning Engineer?

Certified base salary for Senior Machine Learning Engineer at Maplebear by fiscal year: each box is the p25–p75 range, the heavy line the median, the whiskers reach p10–p90. $215k median in FY2025. Base pay only — hover a year for its figures.

$160k$180k$200k$220k$240k$260k’19’21’22’23’24’25’26

Does Maplebear pay Senior Machine Learning Engineers above the market?

Maplebear's all-years median against every employer's certified Senior Machine Learning Engineer LCAs — 8% above the market. Same cleaned DOL title, same base-salary definition, so the two rows compare like for like.

Senior Machine Learning Engineer base salary: Maplebear versus all H-1B employers
Base salary for this titleFilingsMedian
Maplebear46$195k
All employers · Senior Machine Learning Engineer1,404$180k

How has Maplebear's Senior Machine Learning Engineer hiring changed by year?

1 certified Senior Machine Learning Engineer filings in FY2019 → 1 in FY2026. The change column is each year against the one before.

Maplebear certified H-1B Senior Machine Learning Engineer filings and base salary by fiscal year
Fiscal yearFilingsvs prior FYMedian base
FY20261−92%$215k
FY202512+33%$215k
FY20249+50%$200k
FY20236−25%$190k
FY20228−11%$190k
FY20219+800%$180k
FY20191—$175k

Which wage levels does Maplebear file for Senior Machine Learning Engineer?

DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 89% of Maplebear's Senior Machine Learning Engineer filings sit at Level III–IV. Higher levels earn more entries in the wage-weighted H-1B lottery.

Share of 46 Senior Machine Learning Engineer filings with a wage level · all years

11%
9%
80%
  • Level II10.9%5
  • Level III8.7%4
  • Level IV80.4%37

Where does Maplebear hire H-1B Senior Machine Learning Engineers?

Worksite states and cities on the certified filings for this title, all years, with the median base salary at each.

Maplebear Senior Machine Learning Engineer H-1B worksite states
StateFilingsMedian base
California32$190k
Washington7$195k
New York4$200k
New Jersey2$200k
Pennsylvania1$225k
Maplebear Senior Machine Learning Engineer H-1B worksite cities
CityFilingsMedian base
San Francisco, CA16$180k
Mountain View, CA4$185k
New York, NY4$200k
Bellevue, WA3$190k
Sunnyvale, CA3$215k
Bothell, WA2$180k
Irvine, CA2$190k
Marina Del Rey, CA2$235k

Also filed as

Maplebear's other sponsored titles, and the employers that file the most Senior Machine Learning Engineer LCAs. All years.

Other titles at Maplebear

Other H-1B job titles sponsored by Maplebear
Job titleFilingsMedian base
Senior Software Engineer185$185k
Software Engineer52$150k
Senior Data Scientist39$180k
Staff Software Engineer31$225k

Top Senior Machine Learning Engineer sponsors

Top H-1B sponsors for Senior Machine Learning Engineer
EmployerFilingsMedian base
Qualcomm Technologies177$133k
Spotify USA44$244k
Servicenow38$167k
Uber Technologies35$207k
Cruise33$205k
Roblox32$259k
Airbnb26$191k
Atlassian US24$212k
Quantiphi23$115k

Common questions about Senior Machine Learning Engineer H-1B pay at Maplebear

How much does Maplebear pay a Senior Machine Learning Engineer on an H-1B?
Maplebear's median certified H-1B base salary for Senior Machine Learning Engineer is $215k in FY2025, from 12 filings; the middle 50% of offers fall between $200k and $230k. Across all years the median is $195k.
How many Senior Machine Learning Engineer H-1B LCAs has Maplebear filed?
Maplebear has 46 certified H-1B Labor Condition Applications for Senior Machine Learning Engineer on record (FY2019–FY2026), 1 of them in FY2026. That is 6% of its 813 certified filings across all titles.
Does Maplebear pay Senior Machine Learning Engineers above the market?
Maplebear's all-years median of $195k is 8% above the $180k median for Senior Machine Learning Engineer across all H-1B employers (1,404 certified filings).
Where does Maplebear hire H-1B Senior Machine Learning Engineers?
Maplebear's Senior Machine Learning Engineer LCAs name worksites mostly in California, Washington, New York; the top cities are San Francisco, CA, Mountain View, CA, New York, NY.
Does a certified LCA mean an H-1B visa was approved?
No. A Labor Condition Application (LCA) is the Department of Labor attestation an employer must have certified before filing an H-1B petition with USCIS. It records the job, worksite and offered wage, but not whether the petition was filed, selected in the lottery, or approved. Filing counts measure intent to sponsor, not headcount.
What salary do these figures show?
The base annual wage offered on the certified LCA, converted to a yearly amount. Bonus, equity, overtime and benefits are not included, so total compensation is typically higher. Figures are medians and percentiles over certified filings; wages above $5,000,000 a year are excluded as data-entry errors.
What do prevailing-wage levels I–IV mean?
The Department of Labor assigns each LCA an OES wage level from I (entry) to IV (fully competent) for the occupation and area. Under the FY2027 wage-weighted H-1B lottery rule, a higher level earns more selection entries, so an employer's level mix is a proxy for how senior its sponsored roles are.

Keep exploring

Calculate your H-1B lottery odds →orCheck out the insights →

Source: U.S. Department of Labor, Office of Foreign Labor Certification — certified LCA disclosure data through June 2026 (FY2019–FY2026). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →