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Hire Hugging Face Engineer — Open Source ML

Hugging Face· Remote · US· Ref. EXP-2026-0008 4.8 (1,240 reviews)
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Salary
$145k – $195k / year
Type
Full-time
Location
Remote · United States
Valid through
11/15/2026

Additional details

Posted
Posted 2 days ago
Applications
14
on Ganloss
Experience
Mid · 3+ years
Education
BS/MS CS, ML, or equivalent experience
Region
United States
Team
Hugging Face — AI team
Company size
250-500
Founded
2016

Job description

Hugging Face is hiring a Hire Hugging Face Engineer — Open Source ML (Full-time) remote (US). This llm engineer role is part of the AI hiring market in Remote (US) (United States). Teams hire Hugging Face engineer profiles for hub integrations, fine-tuning pipelines, and enterprise support — remote US full-time aligned with hire hugging face engineer searches. Listed compensation: $145k – $195k / year. Stack: Hugging Face, Transformers, Open source, Python.

LLM Engineer profiles are in high demand in Remote (US): Fully remote US roles: LLM Engineer, MLOps, Data Scientist, and AI Product Manager. Apply from any state.…

The team

Hugging Face — AI team

Responsibilities

  • Ship production AI with measurable quality, latency, and safety targets
  • Partner with product and infra on roadmap and customer feedback
  • Document evals, monitoring, and rollout practices for the team

Requirements

  • 3+ years relevant experience (or strong internship + shipped projects)
  • Python or TypeScript and hands-on LLM/ML/data work
  • Comfort with evals, observability, and responsible AI practices

Tech stack

Hugging FaceTransformersOpen sourcePython

Benefits

Health, dental, vision
401(k) match
Equity or bonus
Learning budget
Flexible PTO

Hiring process

  1. 1Recruiter screen (30 min)
  2. 2Technical interview
  3. 3Team conversation
  4. 4Offer

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

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FAQ — Hire Hugging Face Engineer — Open Source ML

What is the salary for Hire Hugging Face Engineer — Open Source ML at Hugging Face?
Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the Hire Hugging Face Engineer — Open Source ML role based?
US remote role. The team may be headquartered in Remote · US.
How do I apply to Hugging Face?
Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0008. Process: Recruiter screen (30 min) → Technical interview → Team conversation → 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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