Machine Learning Engineer H-1B salary at Meta Platforms — 138 certified filings (FY2022–FY2026)

31
Filings · FY2025
$220k
Median base · FY2025
$193k–$232k
Middle 50% · FY2025
+35%
vs market median · all years

Meta Platforms filed 31 certified H-1B LCAs for Machine Learning Engineer in FY2025, with a median base salary of $220k and the middle 50% of offers between $193k and $232k. Across all years its $211k median is 35% above the $156k market median for Machine Learning Engineer. It has filed 138 Machine Learning Engineer LCAs since FY2022, most often in Menlo Park, CA.

How much does Meta Platforms pay a Machine Learning Engineer?

Certified base salary for Machine Learning Engineer at Meta Platforms by fiscal year: each box is the p25–p75 range, the heavy line the median, the whiskers reach p10–p90. $220k median in FY2025. Base pay only — hover a year for its figures.

$160k$180k$200k$220k$240k$260k$280k’22’23’24’25’26

Does Meta Platforms pay Machine Learning Engineers above the market?

Meta Platforms's all-years median against every employer's certified Machine Learning Engineer LCAs — 35% above the market. Same cleaned DOL title, same base-salary definition, so the two rows compare like for like.

Machine Learning Engineer base salary: Meta Platforms versus all H-1B employers
Base salary for this titleFilingsMedian
Meta Platforms138$211k
All employers · Machine Learning Engineer4,981$156k

How has Meta Platforms's Machine Learning Engineer hiring changed by year?

25 certified Machine Learning Engineer filings in FY2022 → 31 in FY2026. The change column is each year against the one before.

Meta Platforms certified H-1B Machine Learning Engineer filings and base salary by fiscal year
Fiscal yearFilingsvs prior FYMedian base
FY2026310%$214k
FY202531−9%$220k
FY202434+100%$205k
FY202317−32%$211k
FY202225—$188k

Which wage levels does Meta Platforms file for Machine Learning Engineer?

DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 83% of Meta Platforms's Machine Learning Engineer filings sit at Level III–IV. Higher levels earn more entries in the wage-weighted H-1B lottery.

Share of 121 Machine Learning Engineer filings with a wage level · all years

11%
25%
59%
  • Level I5.8%7
  • Level II10.7%13
  • Level III24.8%30
  • Level IV58.7%71

Where does Meta Platforms hire H-1B Machine Learning Engineers?

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

Meta Platforms Machine Learning Engineer H-1B worksite states
StateFilingsMedian base
California79$214k
Washington27$218k
New York25$214k
Massachusetts4$175k
Texas2$188k
New Hampshire1$172k
Meta Platforms Machine Learning Engineer H-1B worksite cities
CityFilingsMedian base
Menlo Park, CA64$210k
New York, NY25$214k
Bellevue, WA16$220k
Seattle, WA10$211k
Sunnyvale, CA7$236k
Burlingame, CA5$181k
Austin, TX2$188k
Cambridge, MA2$175k

Also filed as

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

Other titles at Meta Platforms

Other H-1B job titles sponsored by Meta Platforms
Job titleFilingsMedian base
Software Engineer12,265$200k
Research Scientist2,093$186k
Data Scientist1,194$189k
Data Engineer1,089$187k
Production Engineer654$191k
Software Engineering Manager596$261k
Product Manager578$224k
Technical Program Manager359$210k
Product Designer356$192k
Software Engineer, Machine Learning261$214k

Top Machine Learning Engineer sponsors

Top H-1B sponsors for Machine Learning Engineer
EmployerFilingsMedian base
Apple1,026$184k
Adobe449$175k
Tiktok152$200k
Bytedance124$222k
Qualcomm Technologies103$123k
Pinterest51$142k
Doordash48$174k
Bloomberg L P44$152k
Expedia39$149k

Common questions about Machine Learning Engineer H-1B pay at Meta Platforms

How much does Meta Platforms pay a Machine Learning Engineer on an H-1B?
Meta Platforms's median certified H-1B base salary for Machine Learning Engineer is $220k in FY2025, from 31 filings; the middle 50% of offers fall between $193k and $232k. Across all years the median is $211k.
How many Machine Learning Engineer H-1B LCAs has Meta Platforms filed?
Meta Platforms has 138 certified H-1B Labor Condition Applications for Machine Learning Engineer on record (FY2022–FY2026), 31 of them in FY2026. That is 1% of its 26,336 certified filings across all titles.
Does Meta Platforms pay Machine Learning Engineers above the market?
Meta Platforms's all-years median of $211k is 35% above the $156k median for Machine Learning Engineer across all H-1B employers (4,981 certified filings).
Where does Meta Platforms hire H-1B Machine Learning Engineers?
Meta Platforms's Machine Learning Engineer LCAs name worksites mostly in California, Washington, New York; the top cities are Menlo Park, CA, New York, NY, Bellevue, WA.
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.

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Source: U.S. Department of Labor, Office of Foreign Labor Certification — certified LCA disclosure data through June 2026 (FY2022–FY2026). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →