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Hugging Face Jobs in Oregon (NOW HIRING)

NewRocket

OR · On-site

$63.75 - $82/hr

Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. * Develop AI automation solutions ...

Robots and Pencils

OR · On-site

Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face) * Define infrastructure as code, CI/CD ...

Cresta

OR

Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure. * Proven ability to influence technical direction across teams as ...

Prodapt

Business Intelligence Analyst

Portland, OR · On-site

Prior experience must include 3 years of experience with GenAI Technologies such as LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face; * 3 years with AI/ML Technologies such as Scikit ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure. * Demonstrated ability to optimize real-time ML systems for ...

Cresta

OR · On-site

$104K - $143K/yr

Strong expertise with modern ML frameworks and tooling such as PyTorch, TensorFlow, and Hugging Face. * Solid understanding of transformer-based models, embeddings, retrieval systems, and large-scale ...

Fuze Health

OR

Advanced proficiency in Python and SQL, with experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face). * Strong analytical mindset with the ability to break down ambiguous problems into ...

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$9

$16

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How much do hugging face jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for hugging face in Oregon is $16.34, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.33 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?

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.

What are popular job titles related to Hugging Face jobs in Oregon? For Hugging Face jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Oregon look for? The top searched job categories for Hugging Face jobs in Oregon are:
What cities in Oregon are hiring for Hugging Face jobs? Cities in Oregon with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $33,993 per year, or $16.3 per hour.
Agentic AI Architect

Agentic AI Architect

NewRocket

OR • On-site

$63.75 - $82/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust-AI that delivers lasting business value.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

All candidates must submit LinkedIn profiles with clear, recent pictures to be considered.

The Role

We are hiring an AI/ML Architect to join our team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications.

We are #GoingBeyond Come join our crew!

What You Will Be Doing

  • Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
  • Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).
  • Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis.
  • Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI.
  • Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.
  • Design and optimize ETL pipelines for data quality management, transformation, and validation.
  • Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization.
  • Create interactive data visualizations using Tableau and Power BI to drive business insights.
  • Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization.
  • Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.

May perform additional duties as assigned.

What You Bring Along

  • 7+ years of experience applying AI to practical uses.
  • Strong coding expertise in Python & SQL, with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Deep knowledge of algorithms, OOP, and functional design principles.
  • Proficiency with Pandas, NumPy, Matplotlib, and Seaborn.
  • Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud.
  • Experience with big data processing using Apache Spark and Snowflake.
  • NLP expertise with Hugging Face and cloud AI services
  • Strong understanding of database management, query optimization, and data warehousing.
  • Experience with data visualization tools such as Tableau and Power BI.
  • Ability to work in a collaborative environment and adapt to new AI technologies.
  • Strong analytical and problem solving skills.

Education: 

  • Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

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