Sr. Engineer - Backend
Woonsocket, RI · On-site
Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI, Hugging Face models) into backend workflows * Participate in system architecture discussions ...
Sr. Engineer - Backend
Woonsocket, RI · On-site
Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI, Hugging Face models) into backend workflows * Participate in system architecture discussions ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face. * Proficiency in designing and deploying machine learning models, particularly in ...
Principal Solutions Architect
NC · On-site +1
Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns * Familiarity with vector databases (Pinecone, FAISS) * Experience with Docker and Kubernetes * Knowledge of ...
Principal Solutions Architect
NC · On-site +1
Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns * Familiarity with vector databases (Pinecone, FAISS) * Experience with Docker and Kubernetes * Knowledge of ...
Hugging Face information
See Rhode Island salary details
$8.71 - $9.78
3% of jobs
$9.78 - $10.85
5% of jobs
$10.85 - $11.92
6% of jobs
$12.87 is the 25th percentile. Wages below this are outliers.
$11.92 - $12.99
12% of jobs
$12.99 - $14.06
13% of jobs
The median wage is $14.76 / hr.
$14.06 - $15.13
17% of jobs
$15.13 - $16.20
9% of jobs
$17.19 is the 75th percentile. Wages above this are outliers.
$16.20 - $17.27
11% of jobs
$17.27 - $18.34
5% of jobs
$18.34 - $19.41
9% of jobs
$19.41 - $20.48
9% of jobs
$8
$15
$20
How much do hugging face jobs pay per hour?
As of Jul 14, 2026, the average hourly pay for hugging face in Rhode Island is $15.14, according to ZipRecruiter salary data. Most workers in this role earn between $12.69 and $17.88 per hour, depending on experience, location, and employer.
Can you make money on Hugging Face?
Hugging Face is a platform that offers opportunities for data scientists, machine learning engineers, and developers to monetize their skills through jobs, freelance projects, or contributing to open-source models. Earning potential depends on the type of work, experience, and whether you are employed directly or working independently. Building a strong portfolio and expertise in NLP and AI tools can increase income opportunities on the platform.
Which 3 jobs will survive AI?
Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, educators, and skilled tradespeople, are likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability remain important for job security in an evolving technological landscape.
What are Hugging Face jobs?
Hugging Face jobs refer to employment opportunities at the company focused on developing and maintaining open-source machine learning tools, especially in natural language processing. Roles may include software engineering, research, data science, and product management, often requiring skills in Python, deep learning frameworks, and collaboration in a tech environment.
How much do Hugging Face engineers make?
Hugging Face engineers' salaries vary based on experience, role, and location, but generally range from $100,000 to $180,000 annually. Senior positions and specialized roles in machine learning or software engineering tend to offer higher compensation, often including stock options and benefits.
What is the difference between Hugging Face vs Machine Learning Engineer?
| Aspect | Hugging Face | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Typically requires knowledge of NLP, deep learning, and Python; certifications are optional | Requires degrees in CS or related fields; experience with ML frameworks; certifications beneficial |
| Work Environment | Collaborative, research-focused, often in tech companies or startups | Development, deployment, and optimization of ML models in various industries |
| Employer & Industry Usage | Used by AI/ML companies, research labs, and open-source communities | Employed 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.
What are popular job titles related to Hugging Face jobs in Rhode Island? For Hugging Face jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Rhode Island look for? The top searched job categories for Hugging Face jobs in Rhode Island are:
What cities in Rhode Island are hiring for Hugging Face jobs? Cities in Rhode Island with the most Hugging Face job openings:
Job description
Position Overview:
We are seeking a Senior Backend Engineer with strong experience in Functional Java, SpringBoot, and distributed systems. The ideal candidate will also bring hands-on knowledge of Apache Kafka, Redis, and cloud-native development on Google Cloud Platform (GCP). A working understanding of Large Language Models (LLMs) and AI service integration will be considered a strong plus.
Key Responsibilities:
- Design, develop, and maintain scalable microservices using Functional Java and SpringBoot
- Architect and implement real-time data pipelines and event-driven systems using Apache Kafka
- Integrate Redis for performance-optimized caching and session management
- Build and deploy containerized services using Docker on GCP (Cloud Run, GKE, Pub/Sub, etc.)
- Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI, Hugging Face models) into backend workflows
- Participate in system architecture discussions, performance tuning, and design reviews
- Ensure test coverage and continuous delivery through robust CI/CD pipelines
- Troubleshoot complex issues in distributed environments and resolve production incidents swiftly
Required Skills & Experience:
- 6-10 years of backend engineering experience
- Strong proficiency in Java, ideally with Functional Programming practices
- Expertise in SpringBoot and microservice architecture
- Deep hands-on experience with Apache Kafka for stream processing and event-driven design
- Solid knowledge of Redis for caching, message brokering, and performance tuning
- Practical experience with GCP services: Cloud Run, GKE, Pub/Sub, Storage, IAM
- Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks)
- Experience with RESTful APIs, API security, and integration patterns
- Proficient in Docker, Git, and building/maintaining CI/CD pipelines
- Strong analytical, debugging, and performance tuning skills in cloud-native environments
Preferred Qualifications:
- GCP certification or prior experience deploying production-grade systems on GCP
- Exposure to AI/ML integration workflows, especially model orchestration and prompt testing
- Experience working in Agile/Scrum teams with a DevOps mindset
- Contributions to open-source projects or backend engineering blogs
About IntraEdge
Sourced by ZipRecruiter
At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Chandler, AZ, US
Year founded
2002