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Hugging Face Jobs (NOW HIRING)

E2B

Security Engineer

San Francisco, CA · On-site

$180K - $210K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role Your job will be to secure the ...

Saxon Global

Data Scientist

Fremont, CA

... Hugging Face, and NumPy. - Experience following software best practices in team settings - Strong communication skills, and ability to collaborate with cross-functional teams. - Strong problem ...

Nagarro

Staff Engineer - AI Engineer

Manhattan, NY · Remote

RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. Strong communicator -- able to translate complex ...

Digital Links Inc

Java AI/LLM

Glen Lyn, VA · Remote

$52.25 - $67.50/hr

AI/LLM - hugging face model, OLAMA, LLAMA, Mistral * Agentic AI, Open AI, Gemini * Fine tuning of LLM * Lang chain, Lang flow, FAISS, vector database, Cosine similarity search. * Python programing ...

Purple Drive Technologies

AI/ML Engineer

Dublin, OH · On-site

... Hugging Face, NLTK) - Healthcareclinical text processingExperience - 5 years AIML engineering - Clinical NLP and healthcare data extraction experience - LLM fine-tuning and prompt engineering ...

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement ...

E2B

Platform Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role You will be building the next cloud ...

e2b

Platform Engineer

San Francisco, CA · On-site

Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents. About the role You will be building the next cloud ...

Harnham

Lead AI Scientist

Manhattan, NY · Remote

Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred * Publication and patent history a plus * Strong collaboration and communication skills, including experience working with ...

Wise Skulls Corp.

AI Architect

Austin, TX

Expertise in Hugging Face, OpenAI, Llama 2, LLM, Gemini, Transformers, and RAG. * Strong in Python and Generative AI. * The role follows standard onshore business hours; however, occasional evening ...

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How much do hugging face jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for hugging face in the United States is $15.46, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $18.27 per hour, depending on experience, location, and employer.

What professions make 500,000 a year?

Professions that can earn $500,000 or more annually include senior roles such as CEOs, investment bankers, specialized surgeons, and successful entrepreneurs. High earnings often require extensive experience, advanced skills, and often involve leadership or highly specialized knowledge in their fields.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

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Hugging Face jobs near you
Infographic showing various Hugging Face job openings in the United States as of May 2026, with employment types broken down into 97% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $32,151 per year, or $15.5 per hour.

Security Engineer

E2B

San Francisco, CA • On-site

$180K - $210K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

About E2B
E2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.
About the role
Your job will be to secure the infrastructure where billions of AI agents execute untrusted code daily. You'll be responsible for protecting companies' most sensitive AI workflows while maintaining our sub-200ms performance standards.
You'll be building defense-in-depth security for our Firecracker microVM infrastructure, implementing real-time threat detection across tens of thousands of concurrent sandboxes, and ensuring compliance with enterprise security requirements.
This role requires deep technical expertise in systems security and the ability to solve novel security challenges in the AI agent execution space.
What we're looking for
  • 8+ years of experience in production security infrastructure
  • Being comfortable with securing distributed systems at massive scale
  • Deep expertise in Linux security primitives (seccomp, eBPF, namespaces)
  • Excited to work in person from San Francisco on cutting-edge AI infrastructure
  • Experience with container security and microVM hardening
  • Track record with compliance frameworks (SOC 2, ISO 27001, GDPR)
  • Not being afraid to implement kernel-level security controls

What it's like to work at E2B
We're a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Perplexity, Hugging Face, and other exciting teams pushing the frontier of AI.
We cover full healthcare, vision, and dental insurance, and offer unlimited PTO.

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