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Remote Huggingface Jobs (NOW HIRING)

York Solutions, LLC

ML Engineer

Saint Paul, MN · On-site +1

... HuggingFace, Comprehend, XGBoost, LangChain, etc. Experience integrating machine learning models ... Flexible work environment with some remote working opportunities * Strong fun and teamwork ...

Cast AI

Alliances Manager

New York, NY · Remote

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace ... Enjoy a flexible, remote-first global environment. * 401(k) retirement plan 100% company match on ...

SmarterDx

Senior Machine Learning Research Scientist

$220K/yr

PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes Compensation $200-220k+ base salary #LI-Remote #LI-DNP ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... TensorFlow, HuggingFace etc. - Proven track record building transformer/NLP / LLM models ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Capital Rx

Senior Applied AI/ML Scientist

Manhattan, NY · On-site +1

$142.80K - $225.50K/yr

Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc ... Remote, US Salary Range $142,800--$225,500 USD New York, NY Salary Range $180,400--$225,500 USD ...

Redhat

Senior Manager, AI Inference

Boston, MA · On-site +1

$210.73K - $358.07K/yr

Experience in machine learning frameworks and tools, such as PyTorch, and HuggingFace. * Extremely ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

OAK'S LAB

Tech Lead (Node&React) - Türkiye

Turkey, NC · On-site +1

$49.50 - $63.25/hr

... with remote AI agents to push the boundaries of what's possible in product development. OUR ... HuggingFace API, LLM APIs (eg OpenAI API), Langchain, Vector Databases for RAG Note: You don't need ...

Zillow

Machine Learning Engineer, Zillow Shopping AI

$138.30K - $220.90K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... huggingface (repository) * Expertise with large scale distributed data processing systems such as ...

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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.

More about Remote Huggingface jobs
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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.
ML Engineer

ML Engineer

York Solutions, LLC

Saint Paul, MN • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description


AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you?ll collaborate with talented experts to build innovative solutions that address our company?s evolving business challenges.
Primary Responsibilities:
Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation. Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
Deploy, test, and optimize ML models and data pipelines in production environments.
Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.
Qualifications:
Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields.
5+ years of experience in a similar role in a production environment.
Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
Hands-on experience with cloud computing platforms such as AWS.
Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc.
Experience with iterative development processes, thriving in dynamic and agile environments.
Ability to own ML delivery tasks end-to-end with little to no direct support. Hands-on experience in deploying machine learning models into production environments.
Strong understanding of software design patterns, principles, architecture, and operations.
Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams
Benefits:
York Solutions Offers a generous benefits package for eligible full-time employees:

  • BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
  • Delta Dental plan with 2 free cleanings and insurance discounts
  • Eye Med Vision with annual check-ups and discounts on lens
  • Life and Accidental Death Insurance paid by company
  • John Hancock 401(k) Retirement Plan with discretionary company match
  • Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
  • Flexible work environment with some remote working opportunities
  • Strong fun and teamwork environment
  • Learning, development, and career growth

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