
Hire Hugging Face Engineer — Open Source ML
- 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
Benefits
Hiring process
- 1Recruiter screen (30 min)
- 2Technical interview
- 3Team conversation
- 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.
Apply in one click
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