Senior Full-Stack Engineer
Denver, CO · On-site
Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.
Denver, CO · On-site
Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.
Denver, CO · On-site
Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.
Aurora, CO · On-site
$200K/yr
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Aurora, CO · On-site
$200K/yr
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Aurora, CO · On-site
$200K/yr
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Aurora, CO · On-site
$200K/yr
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...
Denver, CO · On-site
$245K - $272K/yr
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and cloud platforms (GCP, AWS, or Azure). * Strong Python skills and sound software engineering fundamentals - testing, code ...
Denver, CO · On-site
$245K - $272K/yr
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and cloud platforms (GCP, AWS, or Azure). * Strong Python skills and sound software engineering fundamentals - testing, code ...
$9.35 - $10.50
3% of jobs
$10.50 - $11.65
5% of jobs
$11.65 - $12.80
6% of jobs
$13.82 is the 25th percentile. Wages below this are outliers.
$12.80 - $13.95
12% of jobs
$13.95 - $15.10
13% of jobs
The median wage is $15.85 / hr.
$15.10 - $16.25
17% of jobs
$16.25 - $17.40
9% of jobs
$18.46 is the 75th percentile. Wages above this are outliers.
$17.40 - $18.54
11% of jobs
$18.54 - $19.69
5% of jobs
$19.69 - $20.84
9% of jobs
$20.84 - $21.99
9% of jobs
$9
$16
$21
| 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.

Full-time, Contractor
Re-posted 20 days ago