Software Engineer (US-Remote)
OR · Remote
Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.). * Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.
OR · Remote
Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.). * Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.
OR · Remote
Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.). * Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.
OR · On-site
Expert proficiency in PyTorch and modern machine learning infrastructure (e.g., HuggingFace ecosystem, PEFT, Captum, MLflow, and distributed GPU computing setups) * Documented technical leadership ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
OR · On-site
Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.) * Experience with natural language ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain ...
$8.87 - $13.67
16% of jobs
$15.13 is the 25th percentile. Wages below this are outliers.
$13.67 - $18.46
29% of jobs
The median wage is $19.66 / hr.
$18.46 - $23.26
19% of jobs
$27.51 is the 75th percentile. Wages above this are outliers.
$23.26 - $28.05
12% of jobs
$28.05 - $32.85
8% of jobs
$32.85 - $37.64
5% of jobs
$37.64 - $42.44
4% of jobs
$42.44 - $47.23
2% of jobs
$47.23 - $52.03
2% of jobs
$52.03 - $56.82
1% of jobs
$56.82 - $61.62
1% of jobs
$8
$26
$61
To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.
As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.
A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
Job Title
Salary
Shift
Travel
Position Responsibilities
Minimum Security Clearance
Required Qualifications and Skills
Additional Desired Qualifications, Skills, Certifications
Education and Training Required
Minimum Years of Experience
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Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.
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51 - 200 Employees
Warminster, PA, US
1981