What is the salary for ML Platform Engineer at Hugging Face?

Listed range: $140k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Platform Engineer role based?

New York, NY, New York (New York). Work mode: Hybrid.

How do I apply to Hugging Face?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0025. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Hugging Face hiring other AI roles?

Hugging Face (ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

ML Platform Engineer

Hugging Face· New York, NY· Ref. EXP-2026-0025 4.8 (1,240 reviews)

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Salary: $140k – $195k / year
Type: Full-time
Location: New York, NY · New York (New York) · Hybrid
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 37; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: New York
Team: Hugging Face — AI team
Company size: 250-500
Founded: 2016

Job description

Hugging Face is hiring a ML Platform Engineer (Full-time) hybrid. This ml platform engineer role is part of the AI hiring market in New York (New York). Scale model hub inference and Spaces infrastructure for millions of users. Listed compensation: $140k – $195k / year. Stack: Kubernetes, Rust, Python, Inference.

AI profiles are in demand in New York: New York combines fintech, media, and enterprise AI with strong demand for applied ML, NLP, and MLOps at banks, ad tech, and product companies.…

The team

Hugging Face — 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

KubernetesRustPythonInference

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 Platform Engineer

What is the salary for ML Platform Engineer at Hugging Face?: Listed range: $140k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the ML Platform Engineer role based?: New York, NY, New York (New York). Work mode: Hybrid.
How do I apply to Hugging Face?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0025. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Hugging Face hiring other AI roles?: Hugging Face (ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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