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Giga ML Salary

Giga ML Salary

Giga ML pays a median of $233K ($188K–$288K) across 22 public job postings (2025–2026).

💰 $188K–$288K salary range

Median: $233K  ·  Based on 22 public Giga ML job postings  ·  Updated July 1, 2026


This Giga ML salary benchmark is built from public job postings — no private placement data. Figures reflect base salary only (equity is separate) and are refreshed as new postings are collected.

📊 Salary breakdown

Giga ML · pay benchmark · updated July 1, 2026
$233K
inc. eng · sales · ops
All-role median
$188K–$288K
Typical range
$400K view JD
Highest base · Staff Backend Engineer
22
Open roles
~4 yrs
Typical exp.
+5
22 last 90d
New last 30d
ⓘ Base salary only — 82% of roles mention equity
Salary by department · median & top base
engineering
$275K · $400K top (14)
strategy & operations
$180K · $320K top (6)
Highest-paying skills
Django $300KFastapi $300KNode.js $300KAWS $300KKubernetes $300KPostgreSQL $300KNext.js $300KTypeScript $290K

Highest-paying open roles at Giga ML

Giga ML salary by department

  • engineering: $275K median · $400K top base — Staff Backend Engineer (view JD) (14 roles)
  • strategy & operations: $180K median · $320K top base — Director, Legal (view JD) (6 roles)

Giga ML salary by location

  • New York: $288K median · $400K top base — Staff Backend Engineer (view JD) (4 roles)

Remote work at Giga ML

0% of Giga ML's disclosed-pay roles are remote-friendly.

What Giga ML looks for

Most-required skills across these postings: Python (10) · TypeScript (8) · Node.js (7) · Django (7) · FastAPI (7) · PostgreSQL (7) · AWS (7) · Kubernetes (7) · Next.js (7) · React (4).

Benefits & perks at Giga ML

Commonly listed: vision (22) · 401k (21) · commuter (21) · food (21) · mental-health (20) · gym (6) · dental (2) · parental (2).

About Giga ML

Giga ML is Series C stage · 51–200 employees · founded 2023 · HQ San Francisco, California. This context shapes pay: later-stage, well-funded companies tend to anchor base salary higher.

Experience & background at Giga ML

Roles typically ask for around 4 years of experience (up to 8+ for the most senior). Most postings don't state a degree requirement; of the 2 that do, Master's is most common.

Posted pay vs. total compensation

The figures on this page are the midpoint of each posting's advertised salary range (which, for commission roles, includes on-target earnings). Equity is a separate — and often large — component of total compensation, especially at high-growth and AI-native companies; 82% of these postings reference equity. Equity is not included in the medians above.

Giga ML hiring activity

Giga ML has 22 open roles right now, and this benchmark draws on 22 public job postings with disclosed pay. 5 of these roles were first seen in the last 30 days (22 in the last 90).

💼 Similar companies hiring

Compare Giga ML's pay with companies in the same space:

CompanyMedian payvs Giga MLStage
Salesforce$204K↓ -12%Public
Anthropic$356K↑ +53%Series H
Arize AI$186K↓ -20%Series C
OutSystems$166K↓ -29%Series G
E2B$215K↓ -8%Series A
OpenAI$308K↑ +32%Late Stage

💸 Companies that pay more than Giga ML

Coframe · Uniphore · OpenArt AI · Decagon · Unify

🏙 Top-paying tech companies in San Francisco

Essential · Perplexity · Goodfire · Hightouch · Tools for Humanity · Worldlabs

📚 Salary guides & rankings

Top-Paying Tech Companies for Engineers (2026) · Highest-Paying Cities for Software Engineers · Highest-Paying Engineering Roles

Browse all company salary pages →

Explore more salary data

All Engineering salaries →  ·  Backend Engineer salary progression →  ·  Browse all tech salaries →

Common questions

What does Giga ML pay?
The median pay is $233K, with a typical range of $188K–$288K, based on 22 public job postings (2025–2026). Base only — equity is separate.

What is the highest-paying job at Giga ML?
One of the highest-paying open roles is Staff Backend Engineer, at $290K–$400K base.

Which team pays the most at Giga ML?
The engineering team, at a $275K median.

Where does this data come from?
Public job postings on company career pages and public job boards — no private placement or client data.

Methodology

Posted-range midpoints (USD) aggregated from 22 public Giga ML job postings (2025–2026). Range = 25th–75th percentile; median = 50th percentile. Roles, departments, skills, and experience are parsed from the postings. Base salary only — equity excluded. Last refreshed July 1, 2026.

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