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🇵🇭 Philippines · Cost index

How Much Does It Cost to Hire a Machine Learning Engineer in Philippines? (2026)

Last updated August 2026

$1,950-$4,550/month fully loaded. Onboard in 2 weeks. Save ~74% versus US hiring.

Hiring a Machine Learning Engineer in Philippines costs $1,950–$4,550/month fully loaded through Remoteria — about $35,100/year (~$2,925/month) for a mid-level hire, roughly 74% below the US median. That rate covers payroll, compliance, and benefits, with a shortlist in about 5 business days and onboarding in roughly two weeks.

Key facts

Country
🇵🇭 Philippines
Role
Machine Learning Engineer
Monthly range
$1,950-$4,550
Annual (mid)
$35,100
Talent supply
Moderate
Timezone
UTC+8:00
Monthly cost of an offshore Machine Learning Engineer in Philippines versus the US median and other offshore countries — Remoteria first-party salary data
Monthly cost of a Machine Learning Engineer across offshore markets versus the US median. Source: Remoteria first-party salary-by-country data.

Philippines vs US: cost breakdown

MetricPhilippinesUnited States (BLS median)
Annual salary (mid-level)$35,100$135,000
Monthly range (fully loaded)$1,950-$4,550$14,625+
Savings vs US74%Baseline

Experience tiers for Machine Learning Engineers in Philippines

TierExperienceAnnual range (USD)
junior0-2 years$21,060-$25,740
mid3-5 years$31,590-$38,610
senior6+ years$49,140-$60,060

What drives a Machine Learning Engineer rate in Philippines

Seniority sets the rate range for a Machine Learning Engineer in Philippines: a junior (0-2 yrs) runs about $23,400/year and a senior (6+ yrs) about $54,600/year, roughly 133% more, with a mid-level hire near $2,925/month fully loaded. Talent supply for Machine Learning Engineers in Philippines is moderate, and US companies typically engage via an Employer of Record (EOR).

Every band on this page comes from the same first-party dataset published as the 2026 offshore salary index, which sets each country against the others for this role. When you are ready to fill the seat rather than price it, Remoteria staffs machine learning engineers through our offshore it staffing line.

Market notes

Budget roughly $1,950–$4,550 a month for machine learning engineers in Philippines; a mid-level Machine Learning Engineer averages about $35,100 annually. Seniority drives machine learning engineers pay here: early-career hires sit near $23,400/year while seniors reach about $54,600, a 2.3× spread. English is an official language and Filipino professionals rank in the top 25 globally on the EF English Proficiency Index. Supply is moderate: mid-level machine learning engineers shortlist fast from Manila, Cebu, and Davao, while senior hires may need a second interview loop. Your Machine Learning Engineer works UTC+8 hours, which means 4-8 hours of real-time US East Coast overlap on a US-aligned night shift, plus West Coast afternoon coverage. For compliance, engage the Machine Learning Engineer through an EOR, where SSS, PhilHealth, Pag-IBIG, and 13th-month pay are handled for you.

Philippines is one of the first markets I point US founders to for Machine Learning Engineers. The salary gap versus a US hire is real, but the durable win is the timezone overlap and a structured onboarding — that is what turns a low rate into a hire that actually sticks.
Syed Ali, Founder, Remoteria

Timezone overlap

UTC+8 — teams typically work a US-aligned shift for 4-8 hours of real-time East Coast overlap and near-full West Coast afternoon overlap.

At a glanceCountry TZ: UTC+8:00 · Talent supply: moderate

Compliance & payroll

Philippine hires are commonly engaged through EOR providers handling SSS, PhilHealth, Pag-IBIG, and 13th-month pay requirements.

How Philippines compares for Machine Learning Engineers

Across the 8 offshore markets Remoteria staffs for Machine Learning Engineers, monthly rates run from $1,800 in Pakistan to $10,500 in Poland. Philippines sits at $1,950-$4,550/month, about 74% under the US median.

MarketMonthly bandvs US medianTimezone (UTC)
🇵🇰 Pakistan$1,800-$4,20076% belowUTC+5
🇵🇭 Philippines (this page)$1,950-$4,55074% belowUTC+8
🇮🇳 India$2,100-$4,90072% belowUTC+5:30
🇵🇱 Poland$4,500-$10,50040% belowUTC+1/+2

Fully-loaded monthly rates computed from Remoteria market data. “vs US median” compares each market’s mid-level annual cost to the US BLS median for this role.

Frequently asked questions

How much does a Machine Learning Engineer cost to hire in Philippines?

A Machine Learning Engineer in Philippines typically costs $1,950-$4,550 per month through Remoteria, or about $35,100 per year for a mid-level hire. Rates are fully loaded and include payroll, compliance, and benefits.

What timezone does Philippines work in, and how much overlap is there with US teams?

UTC+8 — teams typically work a US-aligned shift for 4-8 hours of real-time East Coast overlap and near-full West Coast afternoon overlap.

Is it legal to hire a Machine Learning Engineer in Philippines as a US company?

Yes. US companies legally hire in Philippines via an Employer of Record (EOR) or as independent contractors. Philippine hires are commonly engaged through EOR providers handling SSS, PhilHealth, Pag-IBIG, and 13th-month pay requirements.

How does a Philippines-based Machine Learning Engineer compare to a US hire on cost?

A mid-level Machine Learning Engineer in Philippines costs about $35,100/year versus a US median of ~$135,000 (BLS). That is approximately 74% in direct salary savings, before counting the payroll-tax and benefits load on US hires.

How long does it take to hire a Machine Learning Engineer from Philippines?

Through Remoteria, expect about 2 weeks from kickoff to first day: 5 business days to shortlist 3 pre-vetted Philippines-based Machine Learning Engineers, then client interviews and onboarding.

Related

Written by Syed Ali

Founder, Remoteria

Syed Ali founded Remoteria after a decade building distributed teams across 4 continents. He helps US businesses source, vet, onboard, and scale pre-vetted offshore talent in engineering, design, marketing, and operations.

  • 10+ years building distributed remote teams
  • Direct hiring experience across US, UK, EU, and APAC markets
  • Specialist in offshore vetting and cross-timezone team integration
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