Principal AI Architect
OR · On-site +1
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 ...
OR · On-site +1
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 ...
OR · On-site +1
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 ...
OR · On-site +1
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 ...
OR · On-site +1
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 ...
OR · On-site +1
... Hugging Face Transformers. Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference. Experience with basic ...
New
OR · On-site +1
... Hugging Face Transformers. Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference. Experience with basic ...
New
Expertise with multimodal training frameworks such as PyTorch, NVIDIA NeMo, JAX, or Hugging Face Transformers. Experience building or working with high-throughput data pipelines for large-scale ...
New
Expertise with multimodal training frameworks such as PyTorch, NVIDIA NeMo, JAX, or Hugging Face Transformers. Experience building or working with high-throughput data pipelines for large-scale ...
New
OR · On-site +1
$180K - $230K/yr
Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies . * Strong data analysis and manipulation experience using ...
OR · On-site +1
$180K - $230K/yr
Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies . * Strong data analysis and manipulation experience using ...
OR · On-site +1
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 ...
OR · On-site +1
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 ...
OR · On-site +1
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 ...
OR · On-site +1
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 ...
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 ...
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 ...
OR · On-site +1
... Hugging Face) Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams Define infrastructure as code, CI ...
OR · On-site +1
... Hugging Face) Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams Define infrastructure as code, CI ...
$9.40 - $10.56
3% of jobs
$10.56 - $11.71
5% of jobs
$11.71 - $12.87
6% of jobs
$13.89 is the 25th percentile. Wages below this are outliers.
$12.87 - $14.02
12% of jobs
$14.02 - $15.18
13% of jobs
The median wage is $15.94 / hr.
$15.18 - $16.34
17% of jobs
$16.34 - $17.49
9% of jobs
$18.56 is the 75th percentile. Wages above this are outliers.
$17.49 - $18.65
11% of jobs
$18.65 - $19.80
5% of jobs
$19.80 - $20.96
9% of jobs
$20.96 - $22.11
9% of jobs
$9
$16
$22
| 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.
For Hugging Face jobs in Oregon, the most frequently searched job titles are:
The top searched job categories for Hugging Face jobs in Oregon are:
Cities in Oregon with the most Hugging Face job openings:

Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 8 days ago
We're looking for a Principal Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI. This role is ideal for a deeply experienced engineer who owns the hardest architectural challenges, sets technical direction, and serves as the senior technical voice on the engagements they support.
In this role, you will operate as the senior technical authority on a cross-functional team, defining architecture across cloud infrastructure, data platforms, and AI/ML workloads. You'll partner closely with leadership and clients on technical strategy, mentor experienced engineers, and own high-stakes decisions that shape the long-term success of the systems you build.
Why This Role Matters
At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.
Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.
What You'll Do
Craft & Delivery
Collaboration & Communication
Leadership & Influence
What You'll Bring
You'll Do Well Here if You Are
The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $ $165,604 - $228,491 USD.We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.