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Remote Huggingface Jobs (NOW HIRING)

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of ...

AllyNd Partners

AI Engineer

Chicago, IL · On-site +1

... HuggingFace)Familiarity with vector databases (Pinecone, Weaviate, FAISS)Experience deploying LLMs ... strategiesFully remote setup with flexible hoursAnnual learning stipend + GPU compute ...

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.

k1x

Machine Learning Engineer

Manhattan, NY · Remote

Fully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area ... Huggingface) Preferred Experience Previous experience with applications of NLP to financial ...

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Remote Huggingface information

What are the key skills and qualifications needed to thrive as a Remote Hugging Face Engineer, and why are they important?

To thrive as a Remote Hugging Face Engineer, you need a strong background in machine learning, deep learning frameworks, and proficiency in Python, often supported by a degree in computer science or related fields. Experience with Hugging Face Transformers, PyTorch or TensorFlow, and version control systems like Git is typically required. Excellent communication, self-motivation, and collaboration skills are essential for working effectively in a distributed team environment. These skills and qualities are crucial for building robust AI solutions, contributing to open-source projects, and ensuring project success in a remote setting.

What are some common challenges faced by remote Huggingface engineers when collaborating with global teams?

Remote Huggingface engineers often collaborate with colleagues across multiple time zones, which can make scheduling meetings and ensuring real-time communication challenging. To overcome this, teams rely heavily on asynchronous communication tools, thorough documentation, and clear workflows. Another challenge is staying up to date with rapid developments in machine learning models and open-source contributions, requiring proactive engagement with the Huggingface community and internal knowledge-sharing sessions. Despite these hurdles, remote engineers typically benefit from a flexible work environment and access to a vibrant, supportive team.

What are Remote Huggingface jobs?

Remote Huggingface jobs are positions offered by Hugging Face, a company known for its open-source machine learning and natural language processing tools, that allow employees to work from anywhere outside of a traditional office setting. These roles can include engineering, research, product management, and other tech-related positions. Working remotely for Hugging Face gives employees flexibility while contributing to cutting-edge AI projects and collaborating with an international team using digital communication tools. Remote employees are typically expected to have reliable internet connections and be proactive in virtual collaboration. Hugging Face is committed to supporting remote work and fostering an inclusive, global workplace.

Does Hugging Face offer remote work?

Hugging Face offers remote work opportunities for many roles, including those related to machine learning, software engineering, and research. Employees can often work remotely depending on the position and team requirements, with some roles requiring occasional in-office presence or specific time zone considerations.

What is the difference between Remote Huggingface vs Remote Machine Learning Engineer?

AspectRemote HuggingfaceRemote Machine Learning Engineer
CredentialsExperience with NLP, Python, and ML frameworks; familiarity with Huggingface librariesDegree in Computer Science or related field; experience with ML algorithms, Python, and cloud platforms
Work EnvironmentCollaborative, often project-based, with a focus on NLP and AI modelsDeveloping, testing, and deploying ML models across various domains, including NLP, CV, and more
Industry UsagePrimarily in AI/ML companies, research labs, and startups focusing on NLPAcross tech companies, startups, and research institutions working on machine learning solutions

Remote Huggingface roles focus on NLP and AI model development using Huggingface libraries, requiring specific NLP expertise. Remote Machine Learning Engineers have broader responsibilities across ML domains, with a wider skill set. Both roles are remote-friendly but differ in specialization and scope.

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What are the most commonly searched types of Huggingface jobs? The most popular types of Huggingface jobs are:
What states have the most Remote Huggingface jobs? States with the most job openings for Remote Huggingface jobs include:
What job categories do people searching Remote Huggingface jobs look for? The top searched job categories for Remote Huggingface jobs are:
Remote Huggingface jobs near you
Infographic showing various Remote Huggingface job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 2% Full Time, 91% Part Time, 2% Temporary, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Machine Learning Engineer - Alpharetta, GA 30009 (Remote)

Machine Learning Engineer - Alpharetta, GA 30009 (Remote)

Lorven Technologies

Remote

Full-time

Posted 27 days ago

Job description

Job Title: Machine Learning Engineer
Location: Alpharetta, GA 30009 (Remote)
Duration: 1 Year Contract (Possible Extension)
Description:
Develop, fine-tune, and optimize LLMs and modern deep learning models
Write high-quality prompts, instructions, and training examples to shape model behavior
Design, implement, and maintain instruction orchestration and evaluation workflows for LLM-based systems
Build and maintain training pipelines, datasets, and evaluation workflows
Design and execute functional and automated tests to validate AI outputs and system behavior
Analyze model performance, identify failure patterns (e.g., accuracy gaps, hallucinations, edge cases), and drive improvements
Collaborate with engineering and product teams (and review partner or vendor work) to deploy and iterate on AI features
Contribute to the ongoing maintenance and improvement of existing AI systems
Requirements:
7+ years of experience in machine learning, NLP, or deep learning
Hands-on experience with LLMs (GPT, LLaMA, Mistral, or similar) in applied or production contexts
Healthcare data experience is required, including working knowledge of:
Strong Python skills; experience with PyTorch or TensorFlow
Familiarity with HuggingFace tools and modern model-training workflows
Experience evaluating AI output quality, hallucination behavior, reliability, and consistency
Experience designing automated evaluation, regression testing, or benchmarking pipelines for AI systems
Ability to work with minimal direction, take ownership of problem areas, and operate effectively in ambiguous problem spaces
Excellent communication skills for writing prompts, instructions, technical documentation, and evaluation artifacts
Experience optimizing LLM and deep learning workloads on AWS, including model training, GPU utilization, and cost-efficient inference deployments
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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