What is the salary for ML Engineer — Recommendations at Meta AI?

Listed range: $170k – $250k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineer — Recommendations role based?

Menlo Park, CA, San Francisco (California). Work mode: Hybrid.

How do I apply to Meta AI?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0036. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Meta AI hiring other AI roles?

Meta AI (Big tech AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

ML Engineer — Recommendations

Meta AI· Menlo Park, CA· Ref. EXP-2026-0036 4.3 (8,900 reviews)

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Salary: $170k – $250k / year
Type: Full-time
Location: Menlo Park, CA · San Francisco (California) · Hybrid
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 48; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: California
Team: Meta AI — AI team
Company size: 10000+
Founded: 2004

Job description

Meta AI is hiring a ML Engineer — Recommendations (Full-time) hybrid. This machine learning engineer role is part of the AI hiring market in San Francisco (California). Improve feed and ads ranking with large-scale deep learning. Listed compensation: $170k – $250k / year. Stack: PyTorch, Ranking, Python, Scale.

Machine Learning Engineer profiles are in high demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…

The team

Meta AI — AI team

Responsibilities

Ship production AI features with measurable quality and latency targets
Partner with product and design on roadmap and customer feedback
Improve observability, evals, and safe rollout practices

Requirements

Strong Python or TypeScript fundamentals and 3+ years relevant experience
Hands-on LLM, ML, or data platform work in production
Clear written communication and async collaboration

Tech stack

PyTorchRankingPythonScale

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview (60 min)
3Team fit
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — ML Engineer — Recommendations

What is the salary for ML Engineer — Recommendations at Meta AI?: Listed range: $170k – $250k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Engineer — Recommendations role based?: Menlo Park, CA, San Francisco (California). Work mode: Hybrid.
How do I apply to Meta AI?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0036. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Meta AI hiring other AI roles?: Meta AI (Big tech AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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